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>.
Version: 4.2.0 Depends: R (≥ 3.5.0) Imports: MASS, mvtnorm, invgamma, gdata, truncnorm, postpack, wiqid, Rcpp (≥ 1.0.9) LinkingTo: Rcpp, RcppArmadillo Published: 2024-03-14 DOI: 10.32614/CRAN.package.GCPBayes Author: Yazdan Asgari [aut, cre], Taban Baghfalaki [aut], Benoit Liquet [aut], Pierre-Emmanuel Sugier [aut], Mohammed Sedki [aut], Therese Truong [aut] Maintainer: Yazdan Asgari <yazdan.asgari at inserm.fr> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] URL: https://github.com/tbaghfalaki/GCPBayes NeedsCompilation: yes Materials: NEWS CRAN checks: GCPBayes results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=GCPBayes to link to this page.
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