vlahm/MCMCwrap: Organize MCMC output for analysis and plotting

The 'coda' package (maintainer: Martyn Plummer <plummerm@iarc.fr> is commonly used to carry out Markov Chain Monte Carlo simulations, especially for the analysis of Bayesian hierarchical models in JAGS (Just Another Gibbs Sampler - also maintained by Plummer). Package 'coda' has a ton of built-in functions for viewing and assessing MCMC outputs, but the actual values it draws from posterior distributions tend to end up buried inside complex package-specific objects. MCMCwrap provides wrapper functions for extracting MCMC posterior draws from mcmc.list objects, generated by coda and organizing them into arrays for easy plotting and external diagnostics.

install.packages("remotes")
remotes::install_github("vlahm/MCMCwrap")