<?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 in the Analysis of Variance via Markov Chain
Monte Carlo in Gaussian Mixture Models</dc:title>
  <dc:title>R package bayesanova version 1.6</dc:title>
  <dc:subject>CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian)</dc:subject>
  <dc:description>Provides a Bayesian version of the analysis of variance based on a three-component Gaussian mixture for which a Gibbs sampler produces posterior draws. For details about the Bayesian ANOVA based on Gaussian mixtures, see Kelter (2019) &lt;arXiv:1906.07524&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: MCMCpack</dc:relation>
  <dc:relation>Suggests: coda, knitr, MASS</dc:relation>
  <dc:creator>Riko Kelter &lt;riko_k@gmx.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Riko Kelter</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2024-03-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=bayesanova</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.bayesanova</dc:identifier>
</oai_dc:dc>