<?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>Constructs a Correlated Pseudo-Marginal Sampler</dc:title>
  <dc:title>R package cPseudoMaRg version 1.0.1</dc:title>
  <dc:description>The primary function makeCPMSampler() generates a sampler function which performs the correlated pseudo-marginal method of Deligiannidis, Doucet and Pitt (2017) &lt;arXiv:1511.04992&gt;. If the 'rho=' argument of makeCPMSampler() is set to 0, then the generated sampler function performs the original pseudo-marginal method of Andrieu and Roberts (2009) &lt;DOI:10.1214/07-AOS574&gt;. The sampler function is constructed with the user's choice of prior, parameter proposal distribution, and the likelihood approximation scheme. Note that this algorithm is not automatically tuned--each one of these arguments must be carefully chosen. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Taylor Brown &lt;trb5me@virginia.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Taylor Brown [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=cPseudoMaRg/LICENSE)</dc:rights>
  <dc:date>2021-09-05</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=cPseudoMaRg</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.cPseudoMaRg</dc:identifier>
</oai_dc:dc>
