<?xml version="1.0"?>
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 <rdf:Description>
  <dc:title>q-order partial correlation graph search algorithm</dc:title>
  <dc:subject>CRAN Task View: gR (http://CRAN.R-project.org/view=gR)</dc:subject>
  <dc:description>This package is deprecated and it is now only a stub for
the newer version called qpgraph available through the
Bioconductor project. The q-order partial correlation graph
search algorithm, q-partial, or qp, algorithm for short, is a
robust procedure for structure learning of undirected Gaussian
graphical Markov models from &quot;small n, large p&quot; data, that is,
multivariate normal data coming from a number of random
variables p larger than the number of multidimensional data
points n as in the case of, e.g., microarray data.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:creator>Robert Castelo &lt;robert.castelo@upf.edu&gt;</dc:creator>
  <dc:contributor>Robert Castelo &lt;robert.castelo@upf.edu&gt;, Alberto Roverato
&lt;alberto.roverato@unibo.it&gt;</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2012-03-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=qp</dc:identifier>
 </rdf:Description>
</rdf:RDF>

