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.
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