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CPBayes  

Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associations
View on CRAN: Click here


Download and install CPBayes package within the R console
Install from CRAN:
install.packages("CPBayes")

Install from Github:
library("remotes")
install_github("cran/CPBayes")

Install by package version:
library("remotes")
install_version("CPBayes", "1.1.0")



Attach the package and use:
library("CPBayes")
Maintained by
Arunabha Majumdar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-23
Latest Update: 2020-12-02
Description:
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) .
How to cite:
Arunabha Majumdar (2017). CPBayes: Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associations. R package version 1.1.0, https://cran.r-project.org/web/packages/CPBayes. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2017-01-23 13:49), 0.2.0 (2017-04-06 11:37), 0.3.0 (2018-02-23 08:51), 1.0.0 (2019-01-12 22:00)
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Complete documentation for CPBayes
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