<?xml version="1.0"?>
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 <rdf:Description>
  <dc:title>Markov chain Monte Carlo (MCMC) Package</dc:title>
  <dc:subject>CRAN Task View: Bayesian (http://CRAN.R-project.org/view=Bayesian)</dc:subject>
  <dc:subject>CRAN Task View: Distributions (http://CRAN.R-project.org/view=Distributions)</dc:subject>
  <dc:subject>CRAN Task View: Multivariate (http://CRAN.R-project.org/view=Multivariate)</dc:subject>
  <dc:subject>CRAN Task View: Psychometrics (http://CRAN.R-project.org/view=Psychometrics)</dc:subject>
  <dc:subject>CRAN Task View: Survival (http://CRAN.R-project.org/view=Survival)</dc:subject>
  <dc:description>This package contains functions to perform Bayesian
inference using posterior simulation for a number of
statistical models. Most simulation is done in compiled C++
written in the Scythe Statistical Library Version 1.0.2. All
models return coda mcmc objects that can then be summarized
using the coda package.  MCMCpack also contains some useful
utility functions, including some additional density functions
and pseudo-random number generators for statistical
distributions, a general purpose Metropolis sampling algorithm,
and tools for visualization.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10.0), coda (&gt;= 0.11-3), MASS, stats</dc:relation>
  <dc:creator>Jong Hee Park &lt;jhp@uchicago.edu&gt;</dc:creator>
  <dc:contributor>Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2012-04-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=MCMCpack</dc:identifier>
 </rdf:Description>
</rdf:RDF>

