<?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>Principal Component Pursuit for Environmental Epidemiology</dc:title>
  <dc:title>R package pcpr version 1.0.0</dc:title>
  <dc:subject>CRAN Task View: Epidemiology (https://CRAN.R-project.org/view=Epidemiology)</dc:subject>
  <dc:description>Implementation of the pattern recognition technique Principal
    Component Pursuit tailored to environmental health data, as described
    in Gibson et al (2022) &lt;doi:10.1289/EHP10479&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: checkmate, dplyr, foreach, furrr, future, magrittr, progressr,
purrr, rlang, tidyselect</dc:relation>
  <dc:relation>Suggests: GGally, ggplot2, knitr, lubridate, metR, rmarkdown, tidyr</dc:relation>
  <dc:creator>Lawrence G. Chillrud &lt;lawrencechillrud@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Lawrence G. Chillrud [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0003-0727-0161&gt;),
  Jaime Benavides [aut] (ORCID: &lt;https://orcid.org/0000-0002-1851-5155&gt;),
  Elizabeth A. Gibson [aut] (ORCID:
    &lt;https://orcid.org/0000-0001-5119-5133&gt;),
  Junhui Zhang [aut] (ORCID: &lt;https://orcid.org/0009-0008-5922-1058&gt;),
  Jingkai Yan [aut] (ORCID: &lt;https://orcid.org/0000-0002-2094-2092&gt;),
  John N. Wright [aut],
  Jeff Goldsmith [aut],
  Marianthi-Anna Kioumourtzoglou [aut] (ORCID:
    &lt;https://orcid.org/0000-0001-5710-4992&gt;),
  Columbia University [fnd] (ROR: &lt;https://ror.org/00hj8s172&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2025-03-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=pcpr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.pcpr</dc:identifier>
</oai_dc:dc>
