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: MetaAnalysis
CRAN checks: CPBayes results

Documentation:

Reference manual: CPBayes.pdf
Vignettes: CPBayes (Bayesian meta analysis for studying cross-phenotype genetic associations) package

Downloads:

Package source: CPBayes_1.1.0.tar.gz
Windows binaries: r-devel: CPBayes_1.1.0.zip, r-release: CPBayes_1.1.0.zip, r-oldrel: CPBayes_1.1.0.zip
macOS binaries: r-release (arm64): CPBayes_1.1.0.tgz, r-release (x86_64): CPBayes_1.1.0.tgz, r-oldrel: CPBayes_1.1.0.tgz
Old sources: CPBayes archive

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