CPBayes: Bayesian Meta Analysis for Studying Cross-Phenotype GeneticAssociations
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 |
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