Robust Mixture Regression
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-06
- NOTE10 OK, 4 NOTE2026-03-10
Documentation
- Help pages
- 51
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 7%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 0%
Downloads
Repository
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/changwn/robmixreg on 2026-10-18.
Dependencies
Installing RobMixReg adds 34 packages (19 with compiled code, 19 MB of source tarballs). Heaviest: gplots 4.6 MB, robustbase 2.2 MB, rrcov 1.5 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.1.3Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.1.02020-08-05 · diff ↗
- 1.0.02020-06-08 · diff ↗
- 0.2.12020-05-27 · diff ↗
- 0.2.02020-05-11 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.1.02020-03-25
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-03-25
- Total releases
- 6 / 6 yrs
- License
- GPL
- Minimum R
- ≥ 3.5.0
- Bundled data
- 1.8 MB / 4 files
- Download size
- 1.9 MB
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