CPBayes: Bayesian Meta Analysis for Studying Cross-Phenotype Genetic
Associations
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 |
| 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:
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