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regMR  

Regularized Finite Mixture Regression Models Using MM Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("regMR", "1.0.0")



Attach the package and use:
library("regMR")
Maintained by
Cameron Bechthold
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-31
Latest Update: 2026-07-31
Description:
Provides a comprehensive framework for fitting regularized finite mixture regression models via an MM algorithm. The sparse group lasso (sgl) penalty is applied to parameter updates within the MM algorithm for variable selection with respect to groups and covariates. The package provides multiple functions for estimation and allows users to fit models over different lambda-alpha sgl penalties and group counts.
How to cite:
Cameron Bechthold (2026). regMR: Regularized Finite Mixture Regression Models Using MM Algorithm. R package version 1.0.0, https://cran.r-project.org/web/packages/regMR. Accessed 03 Oct. 2026.
Previous versions and publish date:
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Complete documentation for regMR
Functions, R codes and Examples using the regMR R package
Full regMR package functions and examples
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