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.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

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