GCPBayes: Bayesian Meta-Analysis of Pleiotropic Effects Using Group Structure

Run a Gibbs sampler for a multivariate Bayesian sparse group selection model with Dirac, continuous and hierarchical spike prior for detecting pleiotropy on the traits. This package is designed for summary statistics containing estimated regression coefficients and its estimated covariance matrix. The methodology is available from: Baghfalaki, T., Sugier, P. E., Truong, T., Pettitt, A. N., Mengersen, K., & Liquet, B. (2021) <doi:10.1002/sim.8855>.

Getting started

Package details

AuthorYazdan Asgari [aut, cre], Taban Baghfalaki [aut], Benoit Liquet [aut], Pierre-Emmanuel Sugier [aut], Mohammed Sedki [aut], Therese Truong [aut]
MaintainerYazdan Asgari <yazdan.asgari@inserm.fr>
LicenseGPL (>= 2.0)
Version4.2.0
URL https://github.com/tbaghfalaki/GCPBayes
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GCPBayes")

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GCPBayes documentation built on May 29, 2024, 3:30 a.m.