<?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>Variable Selection in Sparse GLARMA Models</dc:title>
  <dc:title>R package GlarmaVarSel version 1.0</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>Performs variable selection in high-dimensional sparse GLARMA models. For further details we refer the reader to the paper Gomtsyan et al. (2020), &lt;arXiv:2007.08623v1&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0), Matrix, glmnet, stats, ggplot2</dc:relation>
  <dc:relation>Suggests: knitr, markdown, formatR, doMC</dc:relation>
  <dc:creator>Marina Gomtsyan &lt;marina.gomtsyan@agroparistech.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>M. Gomtsyan, C. Levy-Leduc, S. Ouadah, L. Sansonnet</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2021-09-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GlarmaVarSel</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GlarmaVarSel</dc:identifier>
</oai_dc:dc>
