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 |
| 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: robustMVMR_0.1.0.tgz, r-oldrel: robustMVMR_0.1.0.tgz |
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