# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "DistributionOptimization" in publications use:'
type: software
license: MIT
title: 'DistributionOptimization: Distribution Optimization'
version: 1.2.6
doi: 10.32614/CRAN.package.DistributionOptimization
abstract: 'Fits Gaussian Mixtures by applying evolution. As fitness function a mixture
  of the chi square test for distributions and a novel measure for approximating the
  common area under curves between multiple Gaussians is used. The package presents
  an alternative to the commonly used Likelihood Maximization as is used in Expectation
  Maximization. The algorithm and applications of this package are published under:
  Lerch, F., Ultsch, A., Lotsch, J. (2020) <https://doi.org/10.1038/s41598-020-57432-w>.
  The evolution is based on the ''GA'' package: Scrucca, L. (2013) <https://doi.org/10.18637/jss.v053.i04>
  while the Gaussian Mixture Logic stems from ''AdaptGauss'': Ultsch, A, et al. (2015)
  <https://doi.org/10.3390/ijms161025897>.'
authors:
- family-names: Lerch
  given-names: Florian
  email: lerch@mathematik.uni-marburg.de
- family-names: Lotsch
  given-names: Jorn
- family-names: Ultsch
  given-names: Alfred
repository: https://slerch.r-universe.dev
commit: 9b25e1d4678561ee7398cced297ab971c38ce575
date-released: '2020-02-12'
contact:
- family-names: Lerch
  given-names: Florian
  email: lerch@mathematik.uni-marburg.de