Package: robustMVMR
Title: Perform the Robust Multivariable Mendelian Randomization
        Analysis
Version: 0.1.0
Date: 2020-04-28
Author: Zhao Yang
Maintainer: Zhao Yang <yangz98@connect.hku.hk>
Description: 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>.
Depends: R (>= 3.5.0)
Imports: lmtest (>= 0.9-37), robustbase (>= 0.93-5), ggplot2 (>=
        3.2.1), stats (>= 3.6.2)
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-28 13:24:06 UTC; yangzhao
Repository: CRAN
Date/Publication: 2020-05-02 13:20:02 UTC
