robustMVMR: Perform the Robust Multivariable Mendelian Randomization Analysis

Perform the robust multivariable Mendelian randomization 'robustMVMR' analysis in the two-sample Mendelian randomization setting. An example paper using the 'robustMVMR' package can be found in Yang et al. (2021) <doi:10.1080/15412555.2021.1955848>. In details, the 'robustMVMR' package produces both the robust estimators and the robust standard errors via the MM-estimates, which has been demonstrated to protect against heteroskedasticity, autocorrelation, and the presence of outliers in Yohai (1987) <doi:10.1214/aos/1176350366> and Croux (2003) <https://EconPapers.repec.org/RePEc:ete:ceswps:ces0316>.

Getting started

Package details

AuthorZhao Yang
MaintainerZhao Yang <yangz98@connect.hku.hk>
LicenseGPL-2 | GPL-3
Version0.3.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("robustMVMR")

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robustMVMR documentation built on July 14, 2021, 9:06 a.m.