To cite the vennabers package in publications use:

Kruse R (2026). vennabers: Venn-Abers Classification and Regression Calibration. R package version 1.0.0, https://github.com/RMKruse/vennabers.

Please also cite the methods you use. Venn-Abers predictors:

Vovk V, Petej I (2014). “Venn-Abers Predictors.” In Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence (UAI 2014), 829–838. doi:10.48550/arXiv.1211.0025.

Inductive and Cross Venn-Abers predictors:

Vovk V, Petej I, Fedorova V (2015). “Large-Scale Probabilistic Predictors with and without Guarantees of Validity.” In Advances in Neural Information Processing Systems 28, 892–900. doi:10.48550/arXiv.1511.00213.

Multiclass one-vs-one coupling:

Manokhin V (2017). “Multi-Class Probabilistic Classification Using Inductive and Cross Venn-Abers Predictors.” In Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, volume 60 series Proceedings of Machine Learning Research, 228–240. https://proceedings.mlr.press/v60/manokhin17a.html.

CORP reliability diagrams:

Dimitriadis T, Gneiting T, Jordan A (2021). “Stable Reliability Diagrams for Probabilistic Classifiers.” Proceedings of the National Academy of Sciences, 118(8), e2016191118. doi:10.1073/pnas.2016191118.

Corresponding BibTeX entries:

  @Manual{vennabers,
    title = {{vennabers}: Venn-Abers Classification and Regression
      Calibration},
    author = {René-M. Kruse},
    year = {2026},
    note = {R package version 1.0.0},
    url = {https://github.com/RMKruse/vennabers},
  }

  @InProceedings{VovkPetej2014,
    title = {Venn-Abers Predictors},
    author = {Vladimir Vovk and Ivan Petej},
    booktitle = {Proceedings of the Thirtieth Conference on Uncertainty
      in Artificial Intelligence (UAI 2014)},
    pages = {829--838},
    year = {2014},
    publisher = {AUAI Press},
    doi = {10.48550/arXiv.1211.0025},
  }

  @InProceedings{VovkPetejFedorova2015,
    title = {Large-Scale Probabilistic Predictors with and without
      Guarantees of Validity},
    author = {Vladimir Vovk and Ivan Petej and Valentina Fedorova},
    booktitle = {Advances in Neural Information Processing Systems 28},
    pages = {892--900},
    year = {2015},
    doi = {10.48550/arXiv.1511.00213},
  }

  @InProceedings{Manokhin2017,
    title = {Multi-Class Probabilistic Classification Using Inductive
      and Cross Venn-Abers Predictors},
    author = {Valery Manokhin},
    booktitle = {Proceedings of the Sixth Workshop on Conformal and
      Probabilistic Prediction and Applications},
    series = {Proceedings of Machine Learning Research},
    volume = {60},
    pages = {228--240},
    year = {2017},
    publisher = {PMLR},
    url = {https://proceedings.mlr.press/v60/manokhin17a.html},
  }

  @Article{DimitriadisGneitingJordan2021,
    title = {Stable Reliability Diagrams for Probabilistic
      Classifiers},
    author = {Timo Dimitriadis and Tilmann Gneiting and Alexander I.
      Jordan},
    journal = {Proceedings of the National Academy of Sciences},
    volume = {118},
    number = {8},
    pages = {e2016191118},
    year = {2021},
    doi = {10.1073/pnas.2016191118},
  }