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) .


Reference manual

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install.packages("GCPBayes")

4.3.0 by Yazdan Asgari, a year ago


https://github.com/tbaghfalaki/GCPBayes


Browse source code at https://github.com/cran/GCPBayes


Authors: Yazdan Asgari [aut, cre] , Taban Baghfalaki [aut] , Benoit Liquet [aut] , Pierre-Emmanuel Sugier [aut] , Mohammed Sedki [aut] , Therese Truong [aut]


Documentation:   PDF Manual  


GPL (>= 2.0) license


Imports MASS, mvtnorm, invgamma, gdata, truncnorm, abind, posterior, Rcpp

Linking to Rcpp, RcppArmadillo


See at CRAN