bayesMRM: Bayesian Multivariate Receptor Modeling (original) (raw)
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 |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | bayesMRM results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=bayesMRMto link to this page.