Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associations

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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2.0 by Arunabha Majumdar, 8 months ago

Report a bug at

Browse source code at

Authors: Arunabha Majumdar <> [aut, cre], Tanushree Haldar <> [aut], John Witte [ctb]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL-3 license

Imports MASS, stats, forestplot, grDevices

Suggests testthat, knitr, rmarkdown

See at CRAN