<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Bayesian Multivariate Receptor Modeling</dc:title>
  <dc:title>R package bayesMRM version 2.4.0</dc:title>
  <dc:description>Bayesian analysis of multivariate receptor modeling. The package consists of implementations of the methods of Park and Oh (2015) &lt;doi:10.1016/j.chemolab.2015.08.021&gt;.The package uses 'JAGS'(Just Another Gibbs Sampler) to generate Markov chain Monte Carlo samples of parameters. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Imports: rjags,coda,ggplot2,grDevices,graphics,gridExtra,rgl,shiny,shinythemes</dc:relation>
  <dc:relation>Suggests: stats</dc:relation>
  <dc:creator>Man-Suk Oh &lt;msoh@ewha.ac.kr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Man-Suk Oh [aut, cre],
  Eun-Kyung Lee [aut],
  Eun Sug Park [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2022-12-14</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=bayesMRM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.bayesMRM</dc:identifier>
</oai_dc:dc>
