robustMVMR: 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) <doi:10.1214/aos/1176350366> and Croux (2003) <https://EconPapers.repec.org/RePEc:ete:ceswps:ces0316>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: lmtest (≥ 0.9-37), robustbase (≥ 0.93-5), ggplot2 (≥ 3.2.1), stats (≥ 3.6.2)
Published: 2020-05-02
Author: Zhao Yang
Maintainer: Zhao Yang <yangz98 at connect.hku.hk>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: robustMVMR results

Downloads:

Reference manual: robustMVMR.pdf
Package source: robustMVMR_0.1.0.tar.gz
Windows binaries: r-devel: robustMVMR_0.1.0.zip, r-release: robustMVMR_0.1.0.zip, r-oldrel: robustMVMR_0.1.0.zip
macOS binaries: r-release (arm64): robustMVMR_0.1.0.tgz, r-release (x86_64): robustMVMR_0.1.0.tgz, r-oldrel: robustMVMR_0.1.0.tgz

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