pkg versão publicação-registro

marcosdanieldasilva · Sep 3, 2024 · 2cb29b6 · 2cb29b6
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diff --git a/Project.toml b/Project.toml
@@ -6,14 +6,17 @@ version = "1.0.0-DEV"
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
 Chain = "8be319e6-bccf-4806-a6f7-6fae938471bc"
+ColorTypes = "3da002f7-5984-5a60-b8a6-cbb66c0b333f"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
 HypothesisTests = "09f84164-cd44-5f33-b23f-e6b0d136a0d5"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
 RecipesPipeline = "01d81517-befc-4cb6-b9ec-a95719d0359c"
+Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
 StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 StatsModels = "3eaba693-59b7-5ba5-a881-562e759f1c8d"

diff --git a/src/ForestMensuration.jl b/src/ForestMensuration.jl
@@ -13,70 +13,68 @@ Performs complex calculations with simple commands.
 Offers a user-friendly and intuitive interface.
 """
 module ForestMensuration
-  using CategoricalArrays, DataFrames, Distributions, LinearAlgebra, GLM, HypothesisTests,
-        Plots.PlotMeasures, StatsBase, StatsModels, StatsPlots, RecipesBase, RecipesPipeline, Tables
+  using
+    CategoricalArrays,
+    ColorTypes,
+    DataFrames,
+    Distributions,
+    GLM,
+    HypothesisTests,
+    LinearAlgebra,
+    PlotlyJS,
+    Plots,
+    Plots.PlotMeasures,
+    RecipesPipeline,
+    Reexport,
+    StatsBase,
+    StatsModels,
+    StatsPlots,
+    Tables
 
-  import StatsBase: dof_residual, dof, nobs, aicc, aic, bic, coef
+  import Plots: cgrad
+  import StatsBase: fit, Histogram
+
+  import StatsModels: asgn, missing_omit, Schema, TableRegressionModel
+
+  @reexport using GLM
 
   include("structs-consts.jl")
-  include("regression-variables.jl")
   include("linear-regression.jl")
+  include("prediction.jl")
   include("regression-parameters.jl")
+  include("criteria-functions.jl")
+  include("plot_regression.jl")
   include("frequency-tables.jl")
   include("cubage.jl")
   include("inventory-report.jl")
   include("simple-casual-sampling.jl")
   include("site-classification.jl")
   include("show.jl")
-  include("graph-analysis.jl")
+  # include("graph-analysis.jl")
 
   export
-    # StatsModels Terms
-    ContinuousTerm,
-    CategoricalTerm,
-    # Regression structures
-    FittedLinearModel,
-    # Cubage methods
+    # Regression
+    GroupedLinearModel,
+    TableRegressionModel,
+    regression,
+    prediction,
+    prediction!,
+    criteria_table,
+    criteria_selection,
+    plot_regression,
+    #Cubage
+    cubage,
     Smalian,
     Huber,
     Newton,
-    # Functions
-    adjr2,
-    aic,
-    aicc,
-    bark_factor,
-    bic,
-    coef,
-    coef_table,
-    confidence_interval,
-    criteria_table,
-    cubage,
-    deviance,
+    # Frequency functions
     diametric_table,
-    dispersion,
-    dof,
-    dof_residual,
-    fit_regression,
     frequency_table,
-    graph,
+    # Site classification
     hdom_classification,
-    homoscedasticity,
-    loglikelihood,
-    modelmatrix,
-    n_coef,
-    nobs,
-    normality,
-    nulldeviance,
-    predict,
-    r2,
-    refined_regression,
-    regression,
-    residuals,
     site_classification,
     site_table,
-    stderror,
-    syx,
-    syx_in_percentage,
+    # Forest Inventory
     simple_casual_sampling
 
 end