MixSemiRob: Mixture Models: Parametric, Semiparametric, and Robust
Various functions are provided to estimate parametric mixture models
(with Gaussian, t, Laplace, log-concave distributions, etc.) and
non-parametric mixture models. The package performs hypothesis tests
and addresses label switching issues in mixture models.
The package also allows for parameter estimation in mixture of regressions,
proportion-varying mixture of regressions, and robust mixture of regressions.
| Version: |
1.1.1 |
| Depends: |
R (≥ 3.5) |
| Imports: |
GoFKernel, MASS, mixtools, mvtnorm, Rlab, robustbase, ucminf, pracma, quadprog, stats |
| Suggests: |
knitr, rmarkdown |
| Published: |
2026-02-18 |
| DOI: |
10.32614/CRAN.package.MixSemiRob |
| Author: |
Suyeon Kang  [aut,
cre],
Xin Shen [aut],
Weixin Yao [aut],
Sijia Xiang [aut],
Yan Ge [aut, trl] |
| Maintainer: |
Suyeon Kang <suyeon.kang at ucf.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
MixSemiRob results |
Documentation:
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