Package: CPBayes
Title: Bayesian Meta Analysis for Studying Cross-Phenotype Genetic
        Associations
Version: 1.1.0
Date: 2020-12-01
Author: Arunabha Majumdar <statgen.arunabha@gmail.com> [aut, cre],
        Tanushree Haldar <tanushree.haldar@gmail.com> [aut], John Witte
        [ctb]
Maintainer: Arunabha Majumdar <statgen.arunabha@gmail.com>
Description: 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>.
Depends: R (>= 3.2.0)
License: GPL-3
LazyData: TRUE
URL: https://github.com/ArunabhaCodes/CPBayes
BugReports: https://github.com/ArunabhaCodes/CPBayes/issues
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Imports: MASS, stats, forestplot, grDevices, purrr, mvtnorm
Repository: https://arunabhacodes.r-universe.dev
Date/Publication: 2020-12-01 21:31:30 UTC
RemoteUrl: https://github.com/arunabhacodes/cpbayes
RemoteRef: HEAD
RemoteSha: 4df15cb9d3da002e578ab57afd6adc9a066c9ed1
NeedsCompilation: no
Packaged: 2026-07-03 08:45:53 UTC; root