To cite klue in publications, please cite the methodology paper, the software itself, and the upstream packages it builds on:

Frings, O. (2026). A Hybrid Machine Learning and Random Utility Framework for Latent Class Model Specification. Working paper.

Frings, O. (2026). klue: Hybrid Machine Learning and Random-Utility Workflow for Latent Class Multinomial Logit Model Specification. R package version 0.6.3. https://github.com/o-frings/klue

Hess, S., & Palma, D. (2019). Apollo: a flexible, powerful and customisable freeware package for choice model estimation and application. Journal of Choice Modelling, 32, 100170.

Scrucca, L., Fop, M., Murphy, T.B., & Raftery, A.E. (2016). mclust 5: clustering, classification and density estimation using Gaussian finite mixture models. The R Journal, 8(1), 289-317.

Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M., Hornik, K. (2024). cluster: Cluster Analysis Basics and Extensions. R package.

Corresponding BibTeX entries:

  @Unpublished{,
    title = {A Hybrid Machine Learning and Random Utility Framework for
      Latent Class Model Specification},
    author = {Oliver Frings},
    year = {2026},
    note = {Working paper},
  }

  @Manual{,
    title = {klue: Hybrid Machine Learning and Random-Utility Workflow
      for Latent Class Multinomial Logit Model Specification},
    author = {Oliver Frings},
    year = {2026},
    note = {R package version 0.6.3},
    url = {https://github.com/o-frings/klue},
  }

  @Article{,
    title = {Apollo: a flexible, powerful and customisable freeware
      package for choice model estimation and application},
    author = {Stephane Hess and David Palma},
    journal = {Journal of Choice Modelling},
    year = {2019},
    volume = {32},
    pages = {100170},
    doi = {10.1016/j.jocm.2019.100170},
  }

  @Article{,
    title = {mclust 5: clustering, classification and density
      estimation using Gaussian finite mixture models},
    author = {Luca Scrucca and Michael Fop and T. Brendan Murphy and
      Adrian E. Raftery},
    journal = {The R Journal},
    year = {2016},
    volume = {8},
    number = {1},
    pages = {289-317},
    doi = {10.32614/RJ-2016-021},
  }

  @Manual{,
    title = {cluster: Cluster Analysis Basics and Extensions},
    author = {Martin Maechler and Peter Rousseeuw and Anja Struyf and
      Mia Hubert and Kurt Hornik},
    year = {2024},
    note = {R package},
  }