<?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>Tiered PC Algorithm</dc:title>
  <dc:title>R package tpc version 1.0</dc:title>
  <dc:description>Constraint-based causal discovery using the PC algorithm while
    accounting for a partial node ordering, for example a partial temporal ordering
    when the data were collected in different waves of a cohort study.
    Andrews RM, Foraita R, Didelez V, Witte J (2021) &lt;arXiv:2108.13395&gt;  
    provide a guide how to use tpc to analyse cohort data.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: pcalg, R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: graph, graphics, methods, parallel, utils</dc:relation>
  <dc:relation>Suggests: Rgraphviz, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Ronja Foraita &lt;foraita@leibniz-bips.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Janine Witte [aut],
  Ronja Foraita [cre, ctb] (ORCID:
    &lt;https://orcid.org/0000-0003-2216-6653&gt;),
  DFG [fnd]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2023-02-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=tpc</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.tpc</dc:identifier>
</oai_dc:dc>
