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

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0.1.0 by Arunabha Majumdar, a month ago

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

Documentation:   PDF Manual  

GPL-3 license

Imports MASS, stats

Suggests testthat, knitr, rmarkdown

See at CRAN