<?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 Networks</dc:title>
  <dc:title>R package gRain version 1.4.6</dc:title>
  <dc:subject>CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian)</dc:subject>
  <dc:subject>CRAN Task View: GraphicalModels (https://CRAN.R-project.org/view=GraphicalModels)</dc:subject>
  <dc:description>Probability propagation in Bayesian networks, also known as graphical independence networks. Documentation
    of the package is provided in vignettes included in the package and in
    the paper by Højsgaard (2012, &lt;doi:10.18637/jss.v046.i10&gt;).
    See 'citation("gRain")' for details. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.2.0), methods, gRbase (&gt;= 2.0.2),</dc:relation>
  <dc:relation>Imports: igraph, stats4, broom, Rcpp (&gt;= 0.11.1)</dc:relation>
  <dc:relation>LinkingTo: Rcpp (&gt;= 0.11.1), RcppArmadillo, RcppEigen, gRbase</dc:relation>
  <dc:relation>Suggests: bnlearn, gRim, knitr, markdown, microbenchmark, Rgraphviz,
testthat (&gt;= 2.1.0)</dc:relation>
  <dc:creator>Søren Højsgaard &lt;sorenh@math.aau.dk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Søren Højsgaard [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-03-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=gRain</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.gRain</dc:identifier>
</oai_dc:dc>
