Package: GCPBayes
Type: Package
Title: Bayesian Meta-Analysis of Pleiotropic Effects Using Group
        Structure
Version: 4.1.0
Author: Taban Baghfalaki
Maintainer: Taban Baghfalaki <t.baghfalaki@gmail.com>
Description: 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>.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: MASS, mvtnorm, invgamma, gdata, truncnorm, postpack, wiqid,
        Rcpp (>= 1.0.9)
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
RoxygenNote: 7.2.1
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2023-12-04 09:10:37 UTC; y_asgari
Repository: CRAN
Date/Publication: 2023-12-04 09:30:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-12-22 02:49:19 UTC; unix
Archs: GCPBayes.so.dSYM
