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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
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://cran.r-universe.dev
repository-code: https://github.com/vjoshy/regMR
commit: 7863c7c509270ca3425608b5c0ee1fed425dd090
url: https://github.com/vjoshy/regMR
date-released: '2026-07-31'
contact:
- family-names: Bechthold
  given-names: Cameron
  email: cbechtho@uoguelph.ca