Bayesian Meta-Analysis of Pleiotropic Effects Using Group Structure R package GCPBayes version 4.3.0 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>. Software Depends: R (>= 3.5.0) Imports: MASS, mvtnorm, invgamma, gdata, truncnorm, abind, posterior, Rcpp (>= 1.0.9) LinkingTo: Rcpp, RcppArmadillo Yazdan Asgari <yazdan.asgari@inserm.fr> Comprehensive R Archive Network (CRAN) Yazdan Asgari [aut, cre], Taban Baghfalaki [aut], Benoit Liquet [aut], Pierre-Emmanuel Sugier [aut], Mohammed Sedki [aut], Therese Truong [aut] GPL (>= 2.0) 2025-11-28 application/tgz https://CRAN.R-project.org/package=GCPBayes doi:10.32614/CRAN.package.GCPBayes