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# CITATION 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 "GMMinit" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'GMMinit: Optimal Initial Value for Gaussian Mixture Model'
version: 1.0.0
doi: 10.32614/CRAN.package.GMMinit
abstract: Generating, evaluating, and selecting initialization strategies for Gaussian
  Mixture Models (GMMs), along with functions to run the Expectation-Maximization
  (EM) algorithm. Initialization methods are compared using log-likelihood, and the
  best-fitting model can be selected using BIC. Methods build on initialization strategies
  for finite mixture models described in Michael and Melnykov (2016) <https://doi.org/10.1007/s11634-016-0264-8>
  and Biernacki et al. (2003) <https://doi.org/10.1016/S0167-9473(02)00163-9>, and
  on the EM algorithm of Dempster et al. (1977) <https://doi.org/10.1111/j.2517-6161.1977.tb01600.x>.
  Background on model-based clustering includes Fraley and Raftery (2002) <https://doi.org/10.1198/016214502760047131>
  and McLachlan and Peel (2000, ISBN:9780471006268).
authors:
- family-names: Li
  given-names: Jing
  email: jli178@crimson.ua.edu
- family-names: Melnykov
  given-names: Yana
  email: ymelnykov@ua.edu
repository: https://cran.r-universe.dev
commit: a5e5a163be124dedcbacb6b6751b8832372b3773
date-released: '2026-01-20'
contact:
- family-names: Li
  given-names: Jing
  email: jli178@crimson.ua.edu