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)
- Version4.2.0
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release03/14/2024
Documentation
Team
Yazdan Asgari
Taban Baghfalaki
Show author detailsRolesAuthorBenoit Liquet
Show author detailsRolesAuthorPierre-Emmanuel Sugier
Show author detailsRolesAuthorMohammed Sedki
Show author detailsRolesAuthorTherese Truong
Show author detailsRolesAuthor
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- Depends1 package
- Imports8 packages
- Linking To2 packages