<?xml version="1.0"?>
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 <rdf:Description>
  <dc:title>Nonparametric kernel smoothing methods for mixed data types</dc:title>
  <dc:subject>CRAN Task View: Econometrics (http://CRAN.R-project.org/view=Econometrics)</dc:subject>
  <dc:description>This package provides a variety of nonparametric (and
semiparametric) kernel methods that seamlessly handle a mix of
continuous, unordered, and ordered factor data types. We would
like to gratefully acknowledge support from the Natural
Sciences and Engineering Research Council of Canada
(NSERC:www.nserc.ca), the Social Sciences and Humanities
Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared
Hierarchical Academic Research Computing Network
(SHARCNET:www.sharcnet.ca).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: boot, cubature</dc:relation>
  <dc:relation>Suggests: quantreg, MASS</dc:relation>
  <dc:creator>Jeffrey S. Racine &lt;racinej@mcmaster.ca&gt;</dc:creator>
  <dc:contributor>Tristen Hayfield &lt;hayfield@mpia.de&gt;, Jeffrey S. Racine
&lt;racinej@mcmaster.ca&gt;</dc:contributor>
  <dc:rights>GPL</dc:rights>
  <dc:date>2012-03-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=np</dc:identifier>
 </rdf:Description>
</rdf:RDF>

