qingyuanzhao/mr.raps: Two Sample Mendelian Randomization using Robust Adjusted Profile Score
Version 0.3

Mendelian randomization is a method of identifying and estimating a confounded causal effect using genetic instrumental variables. This packages implements methods for two-sample Mendelian randomization with summary statistics by using Robust Adjusted Profile Score (RAPS). References: Qingyuan Zhao, Jingshu Wang, Gibran Hemani, Jack Bowden, Dylan S. Small. Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. ; Qingyuan Zhao, Yang Chen, Jingshu Wang, Dylan S. Small. A genome-wide design and an empirical partially Bayes approach to increase the power of Mendelian randomization, with application to the effect of blood lipids on cardiovascular disease. .

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("qingyuanzhao/mr.raps")
qingyuanzhao/mr.raps documentation built on May 18, 2018, 5:28 p.m.