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GCPBayes

Bayesian Meta-Analysis of Pleiotropic Effects Using Group Structure

v4.3.0 · Nov 28, 2025 · GPL (>= 2.0)

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>.

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CRAN Check Status

14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies MASS mvtnorm invgamma gdata truncnorm abind posterior Rcpp GCPBayes

Version History

new 4.3.0 Mar 10, 2026
updated 4.3.0 ← 4.2.0 diff Nov 27, 2025
updated 4.2.0 ← 4.1.0 diff Mar 13, 2024
updated 4.1.0 ← 4.0.0 diff Dec 3, 2023
updated 4.0.0 ← 3.1.0 diff Nov 1, 2022
new 3.1.0 Oct 20, 2021