Package: bayesMRM
Type: Package
Title: Bayesian Multivariate Receptor Modeling
Version: 2.4.0
Authors@R: 
    c(person(given = "Man-Suk",
           family = "Oh",
           role = c("aut", "cre"),
           email = "msoh@ewha.ac.kr"),
    person(given = "Eun-Kyung",
           family = "Lee",
           role = c("aut")),
    person(given = "Eun Sug",
           family = "Park",
           role = c("aut")))   
Maintainer: Man-Suk Oh <msoh@ewha.ac.kr>
Description: 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.
Date: 2022-12-14
Depends: R (>= 4.0.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports:
        rjags,coda,ggplot2,grDevices,graphics,gridExtra,rgl,shiny,shinythemes
Suggests: stats
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2026-10-10 17:59:56 UTC; root
Author: Man-Suk Oh [aut, cre], Eun-Kyung Lee [aut], Eun Sug Park [aut]
Config/pak/sysreqs: cmake libfreetype6-dev libglu1-mesa-dev make jags
        texlive libpng-dev libuv1-dev libgl1-mesa-dev zlib1g-dev
Repository: https://mansukoh.r-universe.dev
Date/Publication: 2022-12-14 06:30:05 UTC
RemoteUrl: https://github.com/cran/bayesMRM
RemoteRef: HEAD
RemoteSha: 1282e61a9201cd97e36fbd1151bcfc671f5ad636