A Wrapper Around rjags to Streamline JAGS Analyses
rjags (>= 3-3), coda (>= 0.13), parallel, methods
This package provides 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.

A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses
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.

rjags (>= 3-13), coda (>= 0.13), parallel, methods, stats,
grDevices, graphics, utils

rjags (>= 3-13), coda (>= 0.13), parallel, stats, grDevices,
graphics, utils

c(
person("Ken", "Kellner", email="contact@kenkellner.com", role=c("cre","aut")),
person("Mike", "Meredith", role="ctb")
)
Ken Kellner [cre, aut],
Mike Meredith [ctb]

Extracting and Visualizing Output from 'jagsUI'
person("Matt", "Tyers", email = "matttyersstat@gmail.com",
role = c("aut", "cre"))
Tools are provided to streamline Bayesian analyses in 'JAGS' using
the 'jagsUI' package.  Included are functions for extracting output in
simpler format, functions for streamlining assessment of convergence, and
functions for producing summary plots of output.  Also included is a
function that provides a simple template for running 'JAGS' from 'R'.
Referenced materials can be found at <DOI:10.1214/ss/1177011136>.