runjags: Interface utilities, parallel computing methods and additional distributions for MCMC models in JAGS

This package provides high-level interface utilities for Just Another Gibbs Sampler (JAGS). The primary functions facilitate running parallel JAGS models for multiple chains, automated control of convergence and sample length diagnostics, evaluation of the performance of a model against simulated data, and compatibility with the WinBUGS syntax of model files with data and initial values lists. Model fitting can be done locally (via the rjags package or separate JAGS instances) or via distributed computing clusters such as those provided by snow (a Simple Network Of Workstations), Xgrid, or other user specified functions. A JAGS extension module implementing additional distributions for JAGS models (including the Pareto family of distributions) is also provided.

Version: 1.2.0-7
Depends: R (≥ 2.14)
Imports: parallel, lattice (≥ 0.20-10), coda (≥ 0.16-1)
Suggests: rjags
Published: 2013-11-19
Author: Matthew Denwood
Maintainer: Matthew Denwood <matthew.denwood at>
License: GPL-2
Copyright: The code in src/distributions/jags/ (and elements elsewhere where indicated) is Copyright (C) 2002-10 Martyn Plummer, licensed under GPL-2. All other code is Copyright (C) Matthew Denwood, licensed under GPL-2.
NeedsCompilation: yes
SystemRequirements: jags (see
Citation: runjags citation info
Materials: README ChangeLog
In views: Bayesian
CRAN checks: runjags results


Reference manual: runjags.pdf
Vignettes: Using the runjags package
Package source: runjags_1.2.0-7.tar.gz
MacOS X binary: runjags_1.2.0-7.tgz
Windows binary:
Old sources: runjags archive

Reverse dependencies:

Reverse depends: bayescount, IsotopeR, pcnetmeta