Perform the Robust Multivariable Mendelian Randomization Analysis

Perform the robust multivariable Mendelian randomization 'robustMVMR' analysis in the two-sample Mendelian randomization setting. 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) and Croux (2003) < https://EconPapers.repec.org/RePEc:ete:ceswps:ces0316>.


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install.packages("robustMVMR")

0.1.0 by Zhao Yang, 6 months ago


Browse source code at https://github.com/cran/robustMVMR


Authors: Zhao Yang


Documentation:   PDF Manual  


GPL-2 | GPL-3 license


Imports lmtest, robustbase, ggplot2, stats


See at CRAN