<?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>Ridge Partial Correlation</dc:title>
  <dc:title>R package rpc version 2.0.3</dc:title>
  <dc:description>Computes the ridge partial correlation
    coefficients in a high or ultra-high dimensional linear regression
    problem. An extended Bayesian information criterion is also
    implemented for variable selection. Users provide the matrix
    of covariates as a usual dense matrix or a sparse matrix
    stored in a compressed sparse column format. Detail of the method
    is given in the manual.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.11), Matrix</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:relation>Suggests: MatrixExtra</dc:relation>
  <dc:creator>Somak Dutta &lt;somakd@iastate.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Somak Dutta [aut, cre, cph],
  An Nguyen [aut, ctb],
  Run Wang [ctb],
  Vivekananda Roy [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-03-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=rpc</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.rpc</dc:identifier>
</oai_dc:dc>
