<?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>Class Cover Catch Digraph Classification</dc:title>
  <dc:title>R package rcccd version 0.3.2</dc:title>
  <dc:description>Fit Class Cover Catch Digraph Classification models that can be 
    used in machine learning. Pure and proper and random walk approaches are 
    available. Methods are explained in Priebe et al. (2001) 
    &lt;doi:10.1016/S0167-7152(01)00129-8&gt;, Priebe et al. (2003) 
    &lt;doi:10.1007/s00357-003-0003-7&gt;, and Manukyan and Ceyhan (2016) 
    &lt;doi:10.48550/arXiv.1904.04564&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.2)</dc:relation>
  <dc:relation>Imports: Rcpp, RANN, Rfast, proxy</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:creator>Fatih Saglam &lt;saglamf89@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Fatih Saglam [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-2084-2008&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=rcccd/LICENSE)</dc:rights>
  <dc:date>2023-04-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=rcccd</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.rcccd</dc:identifier>
</oai_dc:dc>
