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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 "CCNR" in publications use:'
type: software
license: GPL-3.0-only
title: 'CCNR: Classifier Chain Network for Multi-Label Classification'
version: 0.2.0
doi: 10.1016/j.eswa.2025.128048
abstract: Fits a Classifier Chain Network (CCN) for multi-label binary classification.
  The model jointly learns label dependencies through a chain structure and optimizes
  an Lq norm aggregated cross-entropy loss. Provides methods for prediction, model
  summary, and k-fold cross-validation with grid search over hyperparameters. The
  methodology is described in Touw and Van de Velden (2025) <https://doi.org/10.1016/j.eswa.2025.128048>.
authors:
- family-names: Touw
  given-names: Daniel J.W.
  email: touw@ese.eur.nl
  orcid: https://orcid.org/0000-0003-3074-5401
preferred-citation:
  type: article
  title: Classifier chain networks for multi-label classification
  authors:
  - family-names: Touw
    given-names: Daniel J. W.
    email: touw@ese.eur.nl
  - family-names: Velden
    given-names: Michel
    name-particle: Van de
  journal: Expert Systems with Applications
  year: '2025'
  volume: '286'
  doi: 10.1016/j.eswa.2025.128048
  start: '128048'
repository: https://cran.r-universe.dev
repository-code: https://github.com/djwtouw/CCNR
commit: 9f665b7348a7f0b514f4739d6840bc3dc837c61c
url: https://github.com/djwtouw/CCNR
date-released: '2026-11-04'
contact:
- family-names: Touw
  given-names: Daniel J.W.
  email: touw@ese.eur.nl
  orcid: https://orcid.org/0000-0003-3074-5401