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 <rdf:Description>
  <dc:title>Give power for a given effect size using multivariate
classification methods</dc:title>
  <dc:description>Calculate power for a given effect size and sample size
using multivariate classification methods: Random forest (RF),
Prediction analysis of microarrays (PAM), K-nearest neighbor
(KNN), or Support vector machine (SVM)</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.7.1), randomForest, pamr, kernlab, class</dc:relation>
  <dc:creator>Yu Guo &lt;yguo@bg-medicine.com&gt;</dc:creator>
  <dc:contributor>Yu Guo and Raji Balasubramanian</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2010-07-31</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=MVpower</dc:identifier>
 </rdf:Description>
</rdf:RDF>

