robustMVMR (version 0.3.1)
Perform the Robust Multivariable Mendelian Randomization
Analysis
Description
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)
. 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) and
Croux (2003) .