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.


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Reference manual

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install.packages("CPBayes")

0.2.0 by Arunabha Majumdar, 8 months ago


https://github.com/ArunabhaCodes/CPBayes


Report a bug at https://github.com/ArunabhaCodes/CPBayes/issues


Browse source code at https://github.com/cran/CPBayes


Authors: Arunabha Majumdar <statgen.arunabha@gmail.com> [aut, cre], Tanushree Haldar <tanushree.haldar@gmail.com> [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