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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Graphical Lasso: Estimation of Gaussian Graphical Models</dc:title>
  <dc:title>R package glasso version 1.11</dc:title>
  <dc:subject>CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics)</dc:subject>
  <dc:description>Estimation of a sparse inverse covariance matrix using a lasso (L1)
             penalty. Facilities are provided for estimates along a path of values
	     for the regularization parameter.</dc:description>
  <dc:type>Software</dc:type>
  <dc:creator>Rob Tibshirani &lt;tibs@stat.stanford.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jerome Friedman, Trevor Hastie and Rob Tibshirani</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2019-10-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=glasso</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.glasso</dc:identifier>
</oai_dc:dc>