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.

Getting started

Package details

AuthorSuyeon Kang [aut, cre] (<https://orcid.org/0000-0001-6506-3035>), Xin Shen [aut] (<https://orcid.org/0000-0002-7332-4669>), Weixin Yao [aut] (<https://orcid.org/0000-0001-5925-5081>), Sijia Xiang [aut], Yan Ge [aut, trl]
MaintainerSuyeon Kang <suyeon.kang@ufl.edu>
LicenseGPL (>= 2)
Version1.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MixSemiRob")

Try the MixSemiRob package in your browser

Any scripts or data that you put into this service are public.

MixSemiRob documentation built on Sept. 20, 2023, 9:06 a.m.