Mixture Models: Parametric, Semiparametric, and Robust R package MixSemiRob version 1.1.1 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. Software Depends: R (>= 3.5) Imports: GoFKernel, MASS, mixtools, mvtnorm, Rlab, robustbase, ucminf, pracma, quadprog, stats Suggests: knitr, rmarkdown Suyeon Kang <suyeon.kang@ucf.edu> Comprehensive R Archive Network (CRAN) Suyeon Kang [aut, cre] (ORCID: <https://orcid.org/0000-0001-6506-3035>), Xin Shen [aut] (ORCID: <https://orcid.org/0000-0002-7332-4669>), Weixin Yao [aut] (ORCID: <https://orcid.org/0000-0001-5925-5081>), Sijia Xiang [aut], Yan Ge [aut, trl] GPL (>= 2) 2026-02-18 application/tgz https://CRAN.R-project.org/package=MixSemiRob doi:10.32614/CRAN.package.MixSemiRob