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>.
Version: 1.1.0 Depends: R (≥ 3.2.0) Imports: MASS, stats, forestplot, grDevices, purrr, mvtnorm Suggests: testthat, knitr, rmarkdown Published: 2020-12-02 DOI: 10.32614/CRAN.package.CPBayes Author: Arunabha Majumdar [aut, cre], Tanushree Haldar [aut], John Witte [ctb] Maintainer: Arunabha Majumdar <statgen.arunabha at gmail.com> BugReports: https://github.com/ArunabhaCodes/CPBayes/issues License: GPL-3 URL: https://github.com/ArunabhaCodes/CPBayes NeedsCompilation: no Materials: README NEWS In views: Bayesian, MetaAnalysis CRAN checks: CPBayes results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CPBayes to link to this page.
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