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GCPBayes

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) <doi:10.1002/sim.8855>.

Versions across snapshots

VersionRepositoryFileSize
4.3.0 rolling linux/jammy R-4.5 GCPBayes_4.3.0.tar.gz 334.5 KiB
4.3.0 rolling linux/noble R-4.5 GCPBayes_4.3.0.tar.gz 335.3 KiB
4.3.0 rolling source/ R- GCPBayes_4.3.0.tar.gz 215.6 KiB
4.3.0 latest linux/jammy R-4.5 GCPBayes_4.3.0.tar.gz 334.5 KiB
4.3.0 latest linux/noble R-4.5 GCPBayes_4.3.0.tar.gz 335.3 KiB
4.3.0 latest source/ R- GCPBayes_4.3.0.tar.gz 215.6 KiB
4.3.0 2026-04-26 source/ R- GCPBayes_4.3.0.tar.gz 215.6 KiB
4.3.0 2026-04-23 source/ R- GCPBayes_4.3.0.tar.gz 215.6 KiB
4.3.0 2026-04-09 windows/windows R-4.5 GCPBayes_4.3.0.zip 661.4 KiB
4.2.0 2025-04-20 source/ R- GCPBayes_4.2.0.tar.gz 213.6 KiB

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