Package: robustMVMR
Title: Perform the Robust Multivariable Mendelian Randomization
        Analysis
Version: 0.3.1
Date: 2021-07-13
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. An example paper
    using the 'robustMVMR' package can be found in Yang et al. (2021) 
    <doi:10.1080/15412555.2021.1955848>. 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) <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: 7.1.1
NeedsCompilation: no
Packaged: 2021-07-14 01:56:21 UTC; Yang Zhao
Repository: CRAN
Date/Publication: 2021-07-14 07:30:02 UTC
