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An implementation of functions to generate and plot postestimation quantities after estimating Bayesian regression models using Markov chain Monte Carlo (MCMC). Functionality includes the estimation of the Precision-Recall curves (see Beger, 2016 <doi:10.2139/ssrn.2765419>), the implementation of the observed values method of calculating predicted probabilities by Hanmer and Kalkan (2013) <doi:10.1111/j.1540-5907.2012.00602.x>, the implementation of the average value method of calculating predicted probabilities (see King, Tomz, and Wittenberg, 2000 <doi:10.2307/2669316>), and the generation and plotting of first differences to summarize typical effects across covariates (see Long 1997, ISBN:9780803973749; King, Tomz, and Wittenberg, 2000 <doi:10.2307/2669316>). This package can be used with MCMC output generated by any Bayesian estimation tool including 'JAGS', 'BUGS', 'MCMCpack', and 'Stan'.
Version: | 0.3.2 |
Depends: | R (≥ 3.5.0) |
Imports: | carData, caTools, coda (≥ 0.13), dplyr (≥ 0.5.0), ggplot2, ggridges, reshape2, rlang, stats, texreg, tidyr (≥ 0.5.1), HDInterval, ROCR, graphics, grDevices, R2jags, runjags, rstanarm, rjags, MCMCpack, R2WinBUGS, brms |
Suggests: | datasets, knitr, rmarkdown, rstan (≥ 2.10.1), testthat, covr |
Published: | 2021-11-11 |
DOI: | 10.32614/CRAN.package.BayesPostEst |
Author: | Johannes Karreth [aut], Shana Scogin [aut, cre], Rob Williams [aut], Andreas Beger [aut], Myunghee Lee [ctb], Neil Williams [ctb] |
Maintainer: | Shana Scogin <shanarscogin at gmail.com> |
BugReports: | https://github.com/ShanaScogin/BayesPostEst/issues |
License: | GPL-3 |
URL: | https://github.com/ShanaScogin/BayesPostEst |
NeedsCompilation: | no |
SystemRequirements: | JAGS (http://mcmc-jags.sourceforge.io) |
Materials: | README NEWS |
CRAN checks: | BayesPostEst results |
Reference manual: | BayesPostEst.pdf |
Vignettes: |
getting_started |
Package source: | BayesPostEst_0.3.2.tar.gz |
Windows binaries: | r-devel: BayesPostEst_0.3.2.zip, r-release: BayesPostEst_0.3.2.zip, r-oldrel: BayesPostEst_0.3.2.zip |
macOS binaries: | r-release (arm64): BayesPostEst_0.3.2.tgz, r-oldrel (arm64): BayesPostEst_0.3.2.tgz, r-release (x86_64): BayesPostEst_0.3.2.tgz, r-oldrel (x86_64): BayesPostEst_0.3.2.tgz |
Old sources: | BayesPostEst archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.