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 <rdf:Description>
  <dc:title>Product Density Estimation for ICA using tilted Gaussian density
estimates</dc:title>
  <dc:description>A direct and flexible method for estimating an ICA model.
This approach estimates the densities for each component
directly via a tilted gaussian. The tilt functions are
estimated via a GAM poisson model. Details can be found in
&quot;Elements of Statistical Learning (2nd Edition)&quot; Section 14.7.4</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: gam</dc:relation>
  <dc:creator>Trevor Hastie &lt;hastie@stanford.edu&gt;</dc:creator>
  <dc:contributor>Trevor Hastie, Rob Tibshirani</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2010-05-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=ProDenICA</dc:identifier>
 </rdf:Description>
</rdf:RDF>

