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 <rdf:Description>
  <dc:title>ML and MCMC Methods for Pedigree Reconstruction and Analysis</dc:title>
  <dc:subject>CRAN Task View: Bayesian (http://CRAN.R-project.org/view=Bayesian)</dc:subject>
  <dc:description>The primary aim of MasterBayes is to use MCMC techniques
to integrate over uncertainty in pedigree configurations
estimated from molecular markers and phenotypic data.  Emphasis
is put on the marginal distribution of parameters that relate
the phenotypic data to the pedigree. All simulation is done in
compiled C++ for efficency.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: coda, genetics, gtools, kinship2</dc:relation>
  <dc:creator>Jarrod Hadfield &lt;jarrod.hadfield@zoo.ox.ac.uk&gt;</dc:creator>
  <dc:contributor>Jarrod Hadfield</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2012-03-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=MasterBayes</dc:identifier>
 </rdf:Description>
</rdf:RDF>

