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:

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