User-friendly interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior.
An R package implementing interface utilities, model templates, parallel computing methods and additional distributions for MCMC models in JAGS
This package is in the process of being migrated from sourceforge to GitHub, along with a fairly substantial overhaul of the underlying code base. Check back for more updates soon.