<?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 on Univariate Normal Mixtures</dc:title>
  <dc:title>R package Nmix version 2.0.5</dc:title>
  <dc:description>A program for Bayesian analysis of univariate normal mixtures with an unknown number
  of components, following the approach of Richardson and Green (1997) &lt;doi:10.1111/1467-9868.00095&gt;.
  This makes use of reversible jump Markov chain Monte Carlo methods that are capable of jumping
  between the parameter sub-spaces corresponding to different numbers of components in the mixture.
  A sample from the full joint distribution of all unknown variables is thereby generated,
  and this can be used as a basis for a thorough presentation of many aspects of the posterior
  distribution. </dc:description>
  <dc:type>Software</dc:type>
  <dc:creator>Peter Green &lt;P.J.Green@bristol.ac.uk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Peter Green [aut, cre] (ORCID: &lt;https://orcid.org/0000-0002-4367-4756&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-09-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=Nmix</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.Nmix</dc:identifier>
  <dc:language>en-GB</dc:language>
</oai_dc:dc>
