<?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>A Genetic Algorithm for Learning Directed Acyclic Graphs</dc:title>
  <dc:title>R package GADAG version 0.99.0</dc:title>
  <dc:description>Sparse large Directed Acyclic Graphs learning with a combination of a convex program and a tailored genetic algorithm (see Champion et al. (2017) &lt;https://hal.archives-ouvertes.fr/hal-01172745v2/document&gt;). </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: igraph, MASS</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 0.12.5)</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:creator>Magali Champion &lt;magali.champion@parisdescartes.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Magali Champion, Victor Picheny and Matthieu Vignes</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2017-04-11</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GADAG</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GADAG</dc:identifier>
</oai_dc:dc>