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.
- Version4.2.0
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release03/14/2024
Documentation
Team
Yazdan Asgari
Benoit Liquet
Show author detailsRolesAuthorMohammed Sedki
Show author detailsRolesAuthorTaban Baghfalaki
Show author detailsRolesAuthorPierre-Emmanuel Sugier
Show author detailsRolesAuthorTherese Truong
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports8 packages
- Linking To2 packages