<?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>Competing Proximal Gradients Library</dc:title>
  <dc:title>R package CPGLIB version 1.1.2</dc:title>
  <dc:description>Functions to generate ensembles of generalized linear models using 
             competing proximal gradients. The optimal sparsity and diversity
             tuning parameters are selected via an alternating grid search.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.3)</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: testthat, vctrs, mvnfast</dc:relation>
  <dc:creator>Anthony Christidis &lt;anthony.christidis@stat.ubc.ca&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Anthony Christidis [aut, cre],
  Stefan Van Aelst [aut],
  Ruben Zamar [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-03-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=CPGLIB</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.CPGLIB</dc:identifier>
</oai_dc:dc>
