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
NeedsCompilation: no
Packaged: 2020-12-01 21:33:03 UTC; arunmacpro13
Repository: CRAN
Date/Publication: 2020-12-02 07:40:23 UTC
Built: R 4.6.0; ; 2026-04-28 01:32:25 UTC; unix
