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.

Documentation

Manual: CPBayes.pdf
Vignette: CPBayes tutorial

Maintainer: Arunabha Majumdar <statgen.arunabha at gmail.com>

Author(s): Arunabha Majumdar <statgen.arunabha at gmail.com>*, Tanushree Haldar <tanushree.haldar at gmail.com>*, John Witte*

Install package and any missing dependencies by running this line in your R console:

install.packages("CPBayes")

Depends R (>= 3.2.0)
Imports MASS, stats
Suggests testthat, knitr, rmarkdown
Enhances
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Package CPBayes
Materials
URL https://github.com/ArunabhaCodes/CPBayes
Task Views MetaAnalysis
Version 0.1.0
Published 2017-01-23
License GPL-3
BugReports https://github.com/ArunabhaCodes/CPBayes/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks CPBayes check results
Package source CPBayes_0.1.0.tar.gz