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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "regMR" in publications use:'
type: software
license: MIT
title: 'regMR: Regularized Finite Mixture Regression Models Using MM Algorithm'
version: 1.0.0.9000
doi: 10.32614/CRAN.package.regMR
abstract: 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.
authors:
- family-names: Bechthold
  given-names: Cameron
  email: cbechtho@uoguelph.ca
- family-names: Joshy
  given-names: Vinay
  email: joshy@uoguelph.ca
- family-names: Feng
  given-names: Zeny
  email: zfeng@uoguelph.ca
repository: https://vjoshy.r-universe.dev
repository-code: https://github.com/vjoshy/regMR
commit: f8e429b97d94d019dcd6c60d0829a471b94e6077
url: https://github.com/vjoshy/regMR
date-released: '2026-08-02'
contact:
- family-names: Bechthold
  given-names: Cameron
  email: cbechtho@uoguelph.ca