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BayesPostEst: An R Package to Generate Postestimation Quantities for Bayesian MCMC Estimation

Shana Scogin; Johannes Karreth; Andreas Beger; Rob Williams

BayesPostEst is an R package with convenience functions to generate and present quantities of interest after estimating Bayesian regression models fit using MCMC. Quantities of interest include predicted probabilities and changes in probabilities in generalized linear models and analyses of model fit using ROC curves and precision-recall curves. The package also contains two functions to create publication-ready tables summarizing model results with an assessment of substantively meaningful effect sizes.

This is an archive for a paper published in the Journal of Open Source Software to accompany this version of the R package BayesPostEst.
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