<?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>Proportion Estimation with Marginal Proxy Information</dc:title>
  <dc:title>R package pempi version 1.0.0</dc:title>
  <dc:description>A system contains easy-to-use tools for the conditional estimation of the prevalence of an emerging or rare infectious diseases using the methods proposed in Guerrier et al. (2023) &lt;arXiv:2012.10745&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Stéphane Guerrier &lt;stef.guerrier@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Stéphane Guerrier [aut, cre],
  Maria-Pia Victoria-Feser [aut],
  Christoph Kuzmics [aut]</dc:contributor>
  <dc:rights>AGPL-3</dc:rights>
  <dc:date>2023-10-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=pempi</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.pempi</dc:identifier>
</oai_dc:dc>