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Releases: bbsBayes/bbsBayes

v1.1.2

18 Jul 19:00
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Fix bug that has get_final_values() returning nothing for parallel JAGS chains.

v1.1.1

18 Jul 00:33
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  • Get final values from JAGS models that were run in parallel
  • Fix R CRAN check note and warning
  • Have stratify() check if user supplied their own BBS data

v1.1.0

09 Jul 22:37
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Largest change in this version is adding the use of the package "rappdirs" for management of BBS data. With this, users running "fetch_bbs_data()" will notice that the data will be saved to a directory on the user's computer, and then the function "stratify()" will be able to access the data from there. This saves the user from needing to load the raw data into R, then creating another (rather large) object that is the stratified data.

  • "stratify_by" has been replaced by "by" in the "stratify()" function
  • revert back to using JAGS 4.3.0. We will be in contact with Martyn Plummer regarding fix for our issues with 4.3

v1.0.1

25 Jun 22:42
25e617f
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Changes in this version

  • Use median for index calculations
  • Change "dont_track_n" to "track_n" (less confusing)
  • Specify JAGS v4.2.0

v1.0.0

01 Apr 01:33
c9fc7aa
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Functional release of bbsBayes v1.0.0

New since v1.0.0-beta.3:

  • Error checking for incorrect model specifications
  • Fix error with map stratum mismatch
  • Fix issue that drops NSPE from analysis with stratifying with "bbs_cws"
  • Clean up documentation
  • Fix mislabelling of strata in generate_strata_indices()
  • Update sample data to only include Wood Thrush data
  • Error checking for NULL arguments

Functionally, v1.0.0 is ready to go. We have noticed an issue where trends generated from bbsBayes are inconsistent with trends published by USGS and CWS. We will providing a patch for this issue in the coming days.

v1.0.0-beta.3

01 Mar 02:08
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v1.0.0-beta.3 Pre-release
Pre-release

3rd beta test version of bbsBayes.

New since v1.0.0-beta.2:

  • specify file encoding for species data
  • allow user to specify font sizes on plots
  • create code of conduct
  • Allow user to download stop-level data (analysis not supported, however)
  • Create 3 species sample data, and allow user to access list of sample data frames to stratify
  • create contributing template
  • create issues template
  • create PR template
  • Make one colour ramp for all species with set breakpoints
  • change default number of knots to floor(Y/4)
  • change default number of iterations per chain to 10000
  • create function to extract final values of a model that has been run

Known Issues with v1.0.0-beta.3

  • calculations of indices do not match up with published USGS indices
  • potential stratum mismatch in generate_map()

v1.0.0-beta.2

12 Nov 17:46
aa2dc9c
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v1.0.0-beta.2 Pre-release
Pre-release

The official "out-of-house" test release of bbsBayes. New since 0.3.0:

  • swapped blue and red on map so that blue implies increase, red implies decrease
  • add species name to plots
  • allow for no model to be specified
  • explicitly state the packages that each function comes from
  • get_prepared_data creates and returns a dataframe
  • change naming of map variables so all stratifcation works
  • add Usage section

v0.3.0

16 Aug 15:15
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v0.3.0 Pre-release
Pre-release
  • auto_bbs() functionality removed
  • bird_sample data set added
  • route_sample data set added
  • species_sample data set added
  • fix index calculations
  • differentiation between index calculations and trend calculations
  • user can now generate indices as a data frame
  • calculate trends from indices
  • save mcmc list
  • save prepared data (for JAGS)
  • get areas of strata
  • calculate WAIC, or just LPPD or pWAIC
  • user must accept terms and conditions before downloading BBS data

v0.2.0

21 Jul 21:38
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v0.2.0 Pre-release
Pre-release

Addition of trend plots, quiet option to suppress output to the console, and various bug fixes for stratification, data reading, etc.

v0.1.0

11 Jul 15:04
e5ed7b1
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v0.1.0 Pre-release
Pre-release

Functionality up to and including running JAGS models. The user can fetch BBS data via FTP, stratify the data, prepare the data for JAGS modelling, and run a JAGS model for the species of interest.