Package: RobMixReg
Type: Package
Title: Robust Mixture Regression
Version: 1.1.0
Date: 2020-08-03
Authors@R: c(person("Sha", "Cao", email = "shacao@iu.edu", role = c("aut", "cph","ths")),
             person("Wennan", "Chang", email = "wnchang@iu.edu", role = c("aut", "cre")),
             person("Chi", "Zhang", email = "czhang87@iu.edu", role = c("aut", "ctb","ths"))
             )
Author: Sha Cao [aut, cph, ths],
  Wennan Chang [aut, cre],
  Chi Zhang [aut, ctb, ths]
Maintainer: Wennan Chang <wnchang@iu.edu>
Description: Finite mixture models are a popular technique for modelling unobserved heterogeneity or to approximate general distribution functions in a semi-parametric way. They are used in a lot of different areas such as astronomy, biology, economics, marketing or medicine.
             This package is the implementation of popular robust mixture regression methods based on different algorithms including: fleximix, finite mixture models and latent class regression; CTLERob, component-wise adaptive trimming likelihood estimation; mixbi, bi-square estimation; mixL, Laplacian distribution; mixt, t-distribution; TLE, trimmed likelihood estimation.
             The implemented algorithms includes:  CTLERob stands for Component-wise adaptive Trimming Likelihood Estimation based mixture regression; mixbi stands for mixture regression based on bi-square estimation; mixLstands for mixture regression based on Laplacian distribution; TLE stands for Trimmed Likelihood Estimation based mixture regression. For more detail of the algorithms, please refer to below references. 
             Reference: Chun Yu, Weixin Yao, Kun Chen (2017) <doi:10.1002/cjs.11310>.
             NeyKov N, Filzmoser P, Dimova R et al. (2007) <doi:10.1016/j.csda.2006.12.024>.
             Bai X, Yao W. Boyer JE (2012) <doi:10.1016/j.csda.2012.01.016>.
             Wennan Chang, Xinyu Zhou, Yong Zang, Chi Zhang, Sha Cao (2020) <arXiv:2005.11599>.
Depends: R (>= 3.5.0)
License: GPL
Encoding: UTF-8
LazyData: true
Imports: flexmix, robustbase, gtools, MASS,
        methods,robust,lars,dplyr,rlang,
        scales,gplots,grDevices,graphics,RColorBrewer,stats,glmnet
RoxygenNote: 6.1.1
URL: https://changwn.github.io/RobMixReg/
BugReports: https://github.com/changwn/RobMixReg/issues
NeedsCompilation: no
Packaged: 2020-08-04 02:28:29 UTC; wnchang
Repository: CRAN
Date/Publication: 2020-08-05 12:00:07 UTC
Built: R 4.6.0; ; 2026-04-10 02:58:24 UTC; windows
