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 <rdf:Description>
  <dc:title>Quantile Regression Forests</dc:title>
  <dc:subject>CRAN Task View: MachineLearning (http://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Quantile Regression Forests is a tree-based ensemble
method for estimation of conditional quantiles. It is
particularly well suited for high-dimensional data. Predictor
variables of mixed classes can be handled. The package is
dependent on the package randomForests, written by Andy Liaw.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: randomForest</dc:relation>
  <dc:relation>Imports: stats, graphics, grDevices</dc:relation>
  <dc:creator>Nicolai Meinshausen &lt;nicolai@stat.berkeley.edu&gt;</dc:creator>
  <dc:contributor>Nicolai Meinshausen</dc:contributor>
  <dc:rights>GPL</dc:rights>
  <dc:date>2007-03-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=quantregForest</dc:identifier>
 </rdf:Description>
</rdf:RDF>

