<?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>Trend of High-Dimensional Time Series Matrix Estimation</dc:title>
  <dc:title>R package TrendTM version 2.0.21</dc:title>
  <dc:description>Matrix factorization for multivariate time series with both low rank and temporal structures. 
    The procedure is the one proposed by Alquier, P. and Marie, N. 
    "Matrix factorization for multivariate time series analysis." 
    Electronic Journal of Statistics, 13(2), 4346-4366 (2019).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: softImpute, capushe, fda</dc:relation>
  <dc:creator>Emilie Lebarbier &lt;emilie.lebarbier@parisnanterre.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Emilie Lebarbier [aut, cre],
  Nicolas Marie [aut],
  Amélie Rosier [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-03-28</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=TrendTM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.TrendTM</dc:identifier>
</oai_dc:dc>
