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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 |
| 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 |
| Reference manual: | bayesMRM.pdf |
| 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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