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MixSemiRob  

Mixture Models: Parametric, Semiparametric, and Robust
View on CRAN: Click here


Download and install MixSemiRob package within the R console
Install from CRAN:
install.packages("MixSemiRob")

Install from Github:
library("remotes")
install_github("cran/MixSemiRob")

Install by package version:
library("remotes")
install_version("MixSemiRob", "1.1.0")



Attach the package and use:
library("MixSemiRob")
Maintained by
Suyeon Kang
[Scholar Profile | Author Map]
First Published: 2023-04-28
Latest Update: 2023-09-20
Description:
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.
How to cite:
Suyeon Kang (2023). MixSemiRob: Mixture Models: Parametric, Semiparametric, and Robust. R package version 1.1.0, https://cran.r-project.org/web/packages/MixSemiRob. Accessed 03 May. 2025.
Previous versions and publish date:
1.0.0 (2023-04-28 19:30)
Other packages that cited MixSemiRob R package
View MixSemiRob citation profile
Other R packages that MixSemiRob depends, imports, suggests or enhances
Complete documentation for MixSemiRob
Functions, R codes and Examples using the MixSemiRob R package
Full MixSemiRob package functions and examples
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