sergioventurini / bayesmrclus

Bayesian Hierarchical Modeling for Two-Sample Summary-Data Mendelian Randomization under Heterogeneity

BayesMRclus

Overview

Current release: 0.0.1

R version required: at least 3.5.0

R package for performing inference in a Bayesian setting for two-sample summary-data Mendelian randomization (MR) design with and without clustering of the genetic variants.

Installation instructions

The easiest way to get the package is to install it from GitHub by executing the following code (uncomment the first line if you don't have the devtools package available in your local installation of R):

# install.packages("devtools")
devtools::install_github("sergioventurini/BayesMRclus")

After installing it, to use the package run library(BayesMRclus).

To see a description of the package, execute the command ?BayesMRclus.