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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: 1.6.2
Depends: R (≥ 2.14.0)
Imports: coda (≥ 0.13), graphics, grDevices, parallel, rjags (≥ 3-13), stats, utils
Suggests: knitr, markdown, tinytest
Published: 2024-01-30
Author: Ken Kellner [cre, aut], Mike Meredith [ctb]
Maintainer: Ken Kellner <contact at kenkellner.com>
BugReports: https://github.com/kenkellner/jagsUI/issues
License: GPL-3
URL: https://kenkellner.com/jagsUI/
NeedsCompilation: no
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Materials: NEWS
CRAN checks: jagsUI results

Documentation:

Reference manual: jagsUI.pdf
Vignettes: Introduction to jagsUI

Downloads:

Package source: jagsUI_1.6.2.tar.gz
Windows binaries: r-devel: jagsUI_1.6.2.zip, r-release: jagsUI_1.6.2.zip, r-oldrel: jagsUI_1.6.2.zip
macOS binaries: r-release (arm64): jagsUI_1.6.2.tgz, r-oldrel (arm64): jagsUI_1.6.2.tgz, r-release (x86_64): jagsUI_1.6.2.tgz, r-oldrel (x86_64): jagsUI_1.6.2.tgz
Old sources: jagsUI archive

Reverse dependencies:

Reverse depends: occumb
Reverse imports: BeQut, CRTspat, EcoDiet, jagshelper, JMbayes, UHM
Reverse suggests: AICcmodavg, postpack, tidybayes

Linking:

Please use the canonical form https://CRAN.R-project.org/package=jagsUI to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.