# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "bgmm" in publications use:'
type: software
license: GPL-3.0-only
title: 'bgmm: Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling'
version: 1.8.6
doi: 10.18637/jss.v047.i03
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bgmm
abstract: 'Two partially supervised mixture modeling methods: soft-label and belief-based
  modeling are implemented. For completeness, we equipped the package also with the
  functionality of unsupervised, semi- and fully supervised mixture modeling. The
  package can be applied also to selection of the best-fitting from a set of models
  with different component numbers or constraints on their structures. For detailed
  introduction see: Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn
  (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of
  Statistical Software <https://doi.org/10.18637/jss.v047.i03>.'
authors:
- family-names: Biecek
  given-names: Przemyslaw
  email: Przemyslaw.Biecek@gmail.com
- family-names: Szczurek
  given-names: Ewa
preferred-citation:
  type: article
  title: 'The R Package bgmm: Mixture Modeling with Uncertain Knowledge'
  authors:
  - family-names: Biecek
    given-names: Przemyslaw
    email: Przemyslaw.Biecek@gmail.com
  - family-names: Szczurek
    given-names: Ewa
  - family-names: Vingron
    given-names: Martin
  - family-names: Tiuryn
    given-names: Jerzy
  journal: Journal of Statistical Software
  year: '2012'
  volume: '47'
  issue: '3'
  doi: 10.18637/jss.v047.i03
  start: '1'
  end: '32'
repository: https://pbiecek.r-universe.dev
commit: ff96b72dda49e2d2b453b26e3f2fb3f4f0463862
url: http://bgmm.molgen.mpg.de/
contact:
- family-names: Biecek
  given-names: Przemyslaw
  email: Przemyslaw.Biecek@gmail.com