tbaghfalaki/GCPBayes: Bayesian meta-analysis models to Cross Cancer Genomic Investigation of pleiotropic effects using group structure

Run a Gibbs sampler for a multivariate Bayesian sparse group selection model with Dirac, continoues and hierarchical spike prior for detecting pleiotropic effects on two traits. This package is designed for summary statistics containing estimated regression coefficients and its estimated covariance matrix.

Getting started

Package details

AuthorTaban Baghfalaki
MaintainerTaban Baghfalaki <t.baghfalaki@modares.ac.ir>
LicenseGPL (>= 2.0)
Version0.1.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tbaghfalaki/GCPBayes")
tbaghfalaki/GCPBayes documentation built on Feb. 16, 2021, 6:27 a.m.