RobMixReg: Robust Mixture Regression

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) <doi:10.48550/arXiv.2005.11599>.

Version:	1.1.0
Depends:	R (≥ 3.5.0)
Imports:	flexmix, robustbase, gtools, MASS, methods, robust, lars, dplyr, rlang, scales, gplots, grDevices, graphics, RColorBrewer, stats, glmnet
Published:	2020-08-05
DOI:	10.32614/CRAN.package.RobMixReg
Author:	Sha Cao [aut, cph, ths], Wennan Chang [aut, cre], Chi Zhang [aut, ctb, ths]
Maintainer:	Wennan Chang <wnchang at iu.edu>
BugReports:	https://github.com/changwn/RobMixReg/issues
License:	GPL-2 | GPL-3 [expanded from: GPL]
URL:	https://changwn.github.io/RobMixReg/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	RobMixReg results

Documentation:

Reference manual:

RobMixReg.pdf

Downloads:

Package source:	RobMixReg_1.1.0.tar.gz
Windows binaries:	r-devel: RobMixReg_1.1.0.zip, r-release: RobMixReg_1.1.0.zip, r-oldrel: RobMixReg_1.1.0.zip
macOS binaries:	r-release (arm64): RobMixReg_1.1.0.tgz, r-oldrel (arm64): RobMixReg_1.1.0.tgz, r-release (x86_64): RobMixReg_1.1.0.tgz, r-oldrel (x86_64): RobMixReg_1.1.0.tgz
Old sources:	RobMixReg archive

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