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BayesPostEst: Generate Postestimation Quantities for Bayesian MCMC Estimation

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 ORCID iD [aut], Shana Scogin ORCID iD [aut, cre], Rob Williams ORCID iD [aut], Andreas Beger ORCID iD [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

Documentation:

Reference manual: BayesPostEst.pdf
Vignettes: getting_started

Downloads:

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

Linking:

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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.