<?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>Covariate Assisted Principal Regression</dc:title>
  <dc:title>R package capr version 0.2.0</dc:title>
  <dc:description>Covariate Assisted Principal Regression (CAPR) for multiple 
    covariance-matrix outcomes. The method identifies (principal) projection 
    directions that maximize the log-likelihood of a log-linear regression model
    of the covariates. See Zhao et al. (2021), "Covariate Assisted Principal
    Regression for Covariance Matrix Outcomes" &lt;doi:10.1093/biostatistics/kxz057&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rcpp, MASS</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: testthat, roxygen2</dc:relation>
  <dc:creator>Xi Luo &lt;xi.rossi.luo@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Xi Luo [aut, cre],
  Yi Zhao [aut],
  Brian Caffo [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-01-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=capr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.capr</dc:identifier>
</oai_dc:dc>
