BayesPostEst

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'.