CPBayes: 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.

Package details

AuthorArunabha Majumdar <[email protected]> [aut, cre], Tanushree Haldar <[email protected]> [aut], John Witte [ctb]
MaintainerArunabha Majumdar <[email protected]>
URL https://github.com/ArunabhaCodes/CPBayes
Package repositoryView on CRAN
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CPBayes documentation built on Feb. 23, 2018, 9 a.m.