<?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>Graphical Continuous Lyapunov Models</dc:title>
  <dc:title>R package gclm version 0.0.1</dc:title>
  <dc:description>Estimation of covariance matrices as solutions of 
             continuous time Lyapunov equations. 
             Sparse coefficient matrix and diagonal noise are estimated 
             with a proximal gradient 
             method for an l1-penalized loss minimization problem.
             Varando G, Hansen NR (2020) &lt;arXiv:2005.10483&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Suggests: testthat</dc:relation>
  <dc:creator>Gherardo Varando &lt;gherardo.varando@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Gherardo Varando [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-6708-1103&gt;),
  Niels Richard Hansen [aut] (ORCID:
    &lt;https://orcid.org/0000-0003-3883-365X&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=gclm/LICENSE)</dc:rights>
  <dc:date>2020-06-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=gclm</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.gclm</dc:identifier>
</oai_dc:dc>
