<?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>Robust Matrix Factor Model</dc:title>
  <dc:title>R package RMFM version 1.1.0</dc:title>
  <dc:description>We introduce a robust matrix factor model that explicitly incorporates tail behavior and employs a mean-shift term to avoid efficiency losses through pre-centering of observed matrices. More details on the methods related to our paper are currently under submission. A full reference to the paper will be provided in future versions once the paper is published.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: irlba, R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: stats, LaplacesDemon, MixMatrix, COAP, Rcpp (&gt;= 1.0.10)</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Wei Liu &lt;liuwei8@scu.edu.cn&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Wei Liu [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-11-26</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=RMFM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.RMFM</dc:identifier>
</oai_dc:dc>