# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "dpGMM" in publications use:'
type: software
license: GPL-3.0-only
title: 'dpGMM: Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D and
  2D Data'
version: 1.0.0
doi: 10.32614/CRAN.package.dpGMM
abstract: Gaussian mixture modeling of one- and two-dimensional data, provided in
  original or binned form, with an option to estimate the number of model components.
  The method uses Gaussian Mixture Models (GMM) with initial parameters determined
  by a dynamic programming algorithm, leading to stable and reproducible model fitting.
  For more details see Zyla, J., Szumala, K., Polanski, A., Polanska, J., & Marczyk,
  M. (2026) <https://doi.org/10.1016/j.jocs.2026.102811>.
authors:
- family-names: Marczyk
  given-names: Michal
  email: michal.marczyk@polsl.pl
- family-names: Szumala
  given-names: Kamila
  email: kamila.szumala@polsl.pl
- family-names: Zyla
  given-names: Joanna
  email: joanna.zyla@polsl.pl
repository: https://szumx123.r-universe.dev
commit: d5a1e8dfb686f4cdf4c6952531c8a880956e0d9a
date-released: '2026-03-02'
contact:
- family-names: Szumala
  given-names: Kamila
  email: kamila.szumala@polsl.pl