<?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>Bayesian Inference for Presence-Only Data</dc:title>
  <dc:title>R package bayesPO version 0.5.0</dc:title>
  <dc:description>Presence-Only data is best modelled with a Point Process Model.
    The work of Moreira and Gamerman (2022) &lt;doi:10.1214/21-AOAS1569&gt; provides
    a way to use exact Bayesian inference to model this type of data, which is
    implemented in this package.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: Rcpp, coda, parallel, methods, RcppProgress, graphics, stats,
tools</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppEigen, RcppProgress</dc:relation>
  <dc:relation>Suggests: bayesplot, knitr, rmarkdown, webshot, ggplot2, MASS</dc:relation>
  <dc:creator>Guido Alberti Moreira &lt;guidoalber@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Guido Alberti Moreira [cre, aut] (ORCID:
    &lt;https://orcid.org/0000-0001-7557-0874&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-02-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=bayesPO</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.bayesPO</dc:identifier>
</oai_dc:dc>
