Sign in
BioinformaticsbioRxiv
Preprint

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.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISDondelinger '16Stoffel '21Levy '20Zheng '21Wang '16Gorstein '24
57% semantic matchBioinformatics