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 <rdf:Description>
  <dc:title>COSSO, adaptive COSSO, variable selection for nonparametric
smoothing spline (quantile) regression models</dc:title>
  <dc:description>COSSO is the short term for Component Selection and
Smoothing Operator. The new regularization method automatically
selects important function components by a soft-thresholding
penalty in the context of smoothing spline ANOVA models.  The
details about the procedures are given in the paper by Lin and
Zhang (2007).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: quadprog, Rglpk, snow, snowfall</dc:relation>
  <dc:creator>Chen-Yen Lin &lt;clin5@ncsu.edu&gt;</dc:creator>
  <dc:contributor>Hao Helen Zhang &lt;hzhang@stat.ncsu.edu&gt; and Chen-Yen Lin
&lt;clin5@ncsu.edu&gt;</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2012-05-26</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=cosso</dc:identifier>
 </rdf:Description>
</rdf:RDF>

