CPBayes: Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associations (original) (raw)
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 formhttps://CRAN.R-project.org/package=CPBayesto link to this page.