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 and is implemented by Markov chain Monte Carlo technique Gibbs sampling.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.2.0) |
| Imports: | MASS, stats, forestplot, grDevices |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2018-02-23 |
| 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: | MetaAnalysis |
| CRAN checks: | CPBayes results |
| Reference manual: | CPBayes.pdf |
| Vignettes: |
CPBayes tutorial |
| Package source: | CPBayes_0.3.0.tar.gz |
| Windows binaries: | r-devel: CPBayes_0.3.0.zip, r-release: CPBayes_0.3.0.zip, r-oldrel: CPBayes_0.3.0.zip |
| OS X binaries: | r-release: CPBayes_0.3.0.tgz, r-oldrel: CPBayes_0.3.0.tgz |
| Old sources: | CPBayes archive |
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