Package: CPBayes 1.1.0

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. The methodology is available from: A Majumdar, T Haldar, S Bhattacharya, JS Witte (2018) <doi:10.1371/journal.pgen.1007139>.

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

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Bug tracker:https://github.com/arunabhacodes/cpbayes/issues

On CRAN:

7 exports 2 stars 1.18 score 13 dependencies 1 mentions 12 scripts 257 downloads

Last updated 4 years agofrom:4df15cb9d3. Checks:OK: 7. Indexed: yes.

Exports:analytic_locFDR_BF_coranalytic_locFDR_BF_uncorcpbayes_corcpbayes_uncorestimate_corlnforest_cpbayespost_summaries

Dependencies:abindbackportscheckmatecliforestplotgluelifecyclemagrittrMASSmvtnormpurrrrlangvctrs