RobMixReg: an R package for robust, flexible and high dimensional mixture regression
Wennan ChangiD, Changlin WaniD, Chun Yuan Yu, Weixin YaoiD, Chi ZhangiD, Sha CaoiD
Abstract
MotivationMixture regression has been widely used as a statistical model to untangle the latent subgroups of the sample population. Traditional mixture regression faces challenges when dealing with: 1) outliers and versatile regression forms; and 2) the high dimensionality of the predictors. Here, we develop an R package called RobMixReg, which provides comprehensive solutions for robust, flexible as well as high dimensional mixture modeling. Availability and ImplementationRobMixReg R package and associated documentation is available at CRAN: https://CRAN.R-project.org/package=RobMixReg.
02 /Specification & Classification
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