jagsUI: 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.

Version: 1.4.9
Depends: R (≥ 2.14.0), lattice
Imports: rjags (≥ 3-13), coda (≥ 0.13), parallel, stats, grDevices, graphics, utils
Published: 2017-12-12
Author: Ken Kellner
Maintainer: Ken Kellner <contact at kenkellner.com>
License: GPL-2
URL: https://github.com/kenkellner/jagsUI
NeedsCompilation: no
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Materials: NEWS
CRAN checks: jagsUI results


Reference manual: jagsUI.pdf
Package source: jagsUI_1.4.9.tar.gz
Windows binaries: r-devel: jagsUI_1.4.9.zip, r-release: jagsUI_1.4.9.zip, r-oldrel: jagsUI_1.4.9.zip
OS X El Capitan binaries: r-release: jagsUI_1.4.9.tgz
OS X Mavericks binaries: r-oldrel: jagsUI_1.4.9.tgz
Old sources: jagsUI archive

Reverse dependencies:

Reverse imports: JMbayes


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