Package: CPBayes
Title: Bayesian Meta Analysis for Studying Cross-Phenotype Genetic
        Associations
Version: 0.2.0
Date: 2017-04-5
Author: Arunabha Majumdar <statgen.arunabha@gmail.com> [aut, cre],
  Tanushree Haldar <tanushree.haldar@gmail.com> [aut],
  John Witte [ctb]
Maintainer: Arunabha Majumdar <statgen.arunabha@gmail.com>
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 and is implemented by Markov chain Monte Carlo technique Gibbs sampling.
Depends: R (>= 3.2.0)
License: GPL-3
LazyData: TRUE
URL: https://github.com/ArunabhaCodes/CPBayes
BugReports: https://github.com/ArunabhaCodes/CPBayes/issues
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Imports: MASS, stats, forestplot, grDevices
NeedsCompilation: no
Packaged: 2017-04-06 01:12:12 UTC; tanushree
Repository: CRAN
Date/Publication: 2017-04-06 09:37:07 UTC
