To cite package 'otrimle' in publications use:

P. Coretto and C. Hennig (2021). otrimle: Robust Model-Based Clustering. R package version 2.0url: https://CRAN.R-project.org/package=otrimle

P. Coretto and C. Hennig (2016). Robust improper maximum likelihood: tuning, computation, and a comparison with other methods for robust Gaussian clustering. Journal of the American Statistical Association, Vol. 111(516), pp. 1648-1659.<doi:10.1080/01621459.2015.1100996>

P. Coretto and C. Hennig (2017). Consistency, breakdown robustness, and algorithms for robust improper maximum likelihood clustering. Journal of Machine Learning Research, Vol. 18(142), pp. 1-39

Corresponding BibTeX entries:

  @Manual{,
    title = {otrimle: Robust Model-Based Clustering},
    author = {Pietro Coretto and Christian Hennig},
    year = {2021},
    note = {R package version 2.0},
  }

  @Article{,
    title = {Robust improper maximum likelihood: tuning, computation,
      and a comparison with other methods for robust Gaussian
      clustering},
    author = {Pietro Coretto and Christian Hennig},
    year = {2016},
    journal = {Journal of the American Statistical Association},
    volume = {111},
    number = {516},
    pages = {1648--1659},
    doi = {10.1080/01621459.2015.1100996},
  }

  @Article{,
    title = {Consistency, breakdown robustness, and algorithms for
      robust improper maximum likelihood clustering},
    author = {Pietro Coretto and Christian Hennig},
    year = {2016},
    journal = {Journal of Machine Learning Research},
    volume = {18},
    number = {142},
    pages = {1--39},
    url = {https://jmlr.org/papers/v18/16-382.html},
  }