<?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 Meta Analysis for Studying Cross-Phenotype Genetic
Associations</dc:title>
  <dc:title>R package CPBayes version 1.1.0</dc:title>
  <dc:subject>CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian)</dc:subject>
  <dc:subject>CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis)</dc:subject>
  <dc:description>A Bayesian meta-analysis method for studying cross-phenotype
    genetic associations. It uses summary-level data across multiple phenotypes to
    simultaneously measure the evidence of aggregate-level pleiotropic association
    and estimate an optimal subset of traits associated with the risk locus. CPBayes
    is based on a spike and slab prior. The methodology is available from: A Majumdar, T Haldar, S Bhattacharya, JS Witte (2018) &lt;doi:10.1371/journal.pgen.1007139&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.2.0)</dc:relation>
  <dc:relation>Imports: MASS, stats, forestplot, grDevices, purrr, mvtnorm</dc:relation>
  <dc:relation>Suggests: testthat, knitr, rmarkdown</dc:relation>
  <dc:creator>Arunabha Majumdar &lt;statgen.arunabha@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Arunabha Majumdar &lt;statgen.arunabha@gmail.com&gt; [aut, cre],
    Tanushree Haldar &lt;tanushree.haldar@gmail.com&gt; [aut],
    John Witte [ctb]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2020-12-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=CPBayes</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.CPBayes</dc:identifier>
</oai_dc:dc>
