A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses
Automatically run jagsUI analyses to convergence
Density plots of JAGS output
View a jagsUI output object in a separate window
Call JAGS from R
Simplified function to call JAGS from R
Posterior Predictive Checks for Bayesian Analyses fit in JAGS
Traceplots of JAGS output
Update a JAGS model
Whisker plots of parameter posterior distributions
A set of wrappers around 'rjags' functions to run Bayesian analyses in 'JAGS' (specifically, via 'libjags'). A single function call can control adaptive, burn-in, and sampling MCMC phases, with MCMC chains run in sequence or in parallel. Posterior distributions are automatically summarized (with the ability to exclude some monitored nodes if desired) and functions are available to generate figures based on the posteriors (e.g., predictive check plots, traceplots). Function inputs, argument syntax, and output format are nearly identical to the 'R2WinBUGS'/'R2OpenBUGS' packages to allow easy switching between MCMC samplers.