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
| Version | Repository | File | Size |
|---|---|---|---|
4.3.0 |
rolling source/ R- | GCPBayes_4.3.0.tar.gz |
215.6 KiB |
4.3.0 |
rolling linux/jammy R-4.5 | GCPBayes_4.3.0.tar.gz |
334.5 KiB |
4.3.0 |
latest 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 |
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 |