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
This package has been downloaded 169 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,529 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 30 downloads.
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