An implementation of functions to generate and plot postestimation quantities after estimating Bayesian regression models using Markov chain Monte Carlo (MCMC). Functionality includes publication-ready tables, the estimation of the Precision-Recall curves, the implementation of the observed and average values methods of calculating predicted probabilities, and the generation and plotting of first differences to summarize typical effects across covariates. This package can be used with MCMC output generated by any Bayesian estimation tool including 'JAGS', 'BUGS', 'MCMCpack', and 'Stan'.
Repository Address: https://github.com/ShanaScogin/BayesPostEst/tree/master
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