tbaghfalaki/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>.
Getting started
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Package details |
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| Author | Yazdan Asgari [aut, cre], Taban Baghfalaki [aut], Benoit Liquet [aut], Pierre-Emmanuel Sugier [aut], Mohammed Sedki [aut], Therese Truong [aut] |
| Maintainer | Yazdan Asgari <yazdan.asgari@inserm.fr> |
| License | GPL (>= 2.0) |
| Version | 4.2.0 |
| URL | https://github.com/tbaghfalaki/GCPBayes |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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