<?xml version="1.0" encoding="UTF-8"?>
<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>Lasso Penalized Precision Matrix Estimation</dc:title>
  <dc:title>R package CVglasso version 1.0.1</dc:title>
  <dc:description>Estimates a lasso penalized precision matrix via blockwise coordinate descent (BCD). This package is a simple wrapper around the popular 'glasso' package and extends and enhances its capabilities. These enhancements include built-in cross validation and visualizations.
              See Friedman et al. (2008) &lt;doi:10.1093/biostatistics/kxm045&gt; for details regarding the estimation method.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: doParallel, dplyr, foreach, ggplot2, glasso, parallel, stats</dc:relation>
  <dc:relation>Suggests: testthat, rmarkdown, knitr, pkgdown, microbenchmark</dc:relation>
  <dc:creator>James Curran &lt;j.curran@auckland.ac.nz&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Matt Galloway [aut],
  James Curran [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-05-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=CVglasso</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.CVglasso</dc:identifier>
</oai_dc:dc>