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bayesMRM: Bayesian Multivariate Receptor Modeling

Bayesian analysis of multivariate receptor modeling. The package consists of implementations of the methods of Park and Oh (2015) <doi:10.1016/j.chemolab.2015.08.021>.The package uses 'JAGS'(Just Another Gibbs Sampler) to generate Markov chain Monte Carlo samples of parameters.

Version:2.4.0
Depends:R (≥ 4.0.0)
Imports:rjags,coda,ggplot2, grDevices, graphics,gridExtra,rgl,shiny,shinythemes
Suggests:stats
Published:2022-12-14
DOI:10.32614/CRAN.package.bayesMRM
Author:Man-Suk Oh [aut, cre], Eun-Kyung Lee [aut], Eun Sug Park [aut]
Maintainer:Man-Suk Oh <msoh at ewha.ac.kr>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:no
CRAN checks:bayesMRM results

Documentation:

Reference manual:bayesMRM.html ,bayesMRM.pdf

Downloads:

Package source: bayesMRM_2.4.0.tar.gz
Windows binaries: r-devel:bayesMRM_2.4.0.zip, r-release:bayesMRM_2.4.0.zip, r-oldrel:bayesMRM_2.4.0.zip
macOS binaries: r-release (arm64):bayesMRM_2.4.0.tgz, r-oldrel (arm64):bayesMRM_2.4.0.tgz, r-release (x86_64):bayesMRM_2.4.0.tgz, r-oldrel (x86_64):bayesMRM_2.4.0.tgz
Old sources: bayesMRM archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bayesMRMto link to this page.


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