vlahm/MCMCwrap: Organize MCMC output for analysis and plotting

The 'coda' package (maintainer: Martyn Plummer <[email protected]> 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("devtools")
library(devtools)
install_github("vlahm/MCMCwrap")