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To cite package 'otrimle' in publications use:

Coretto P, Hennig C (2021). otrimle: Robust Model-Based Clustering. R package version 2.0.

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

Coretto P, Hennig C (2016). “Consistency, breakdown robustness, and algorithms for robust improper maximum likelihood clustering.” Journal of Machine Learning Research, 18(142), 1–39. https://jmlr.org/papers/v18/16-382.html.

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},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.