<?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 Graph Structure Learning using Spike-and-Slab Priors</dc:title>
  <dc:title>R package ssgraph version 1.16</dc:title>
  <dc:subject>CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian)</dc:subject>
  <dc:subject>CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing)</dc:subject>
  <dc:subject>CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Bayesian estimation for undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: BDgraph (&gt;= 2.58)</dc:relation>
  <dc:relation>Suggests: skimr, knitr, rmarkdown</dc:relation>
  <dc:creator>Reza Mohammadi &lt;a.mohammadi@uva.nl&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Reza Mohammadi [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-9538-0648&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-08-29</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ssgraph</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ssgraph</dc:identifier>
</oai_dc:dc>
