Gaussian Mixture Modelling for Model-Based Clustering,
Classification, and Density Estimation
Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
c(person("Chris", "Fraley", role = "aut"),
             person("Adrian E.", "Raftery", role = "aut",
                    comment = c(ORCID = "0000-0002-6589-301X")),
             person("Luca", "Scrucca", role = c("aut", "cre"),
                    email = "luca.scrucca@unipg.it",
                    comment = c(ORCID = "0000-0003-3826-0484")),
             person("Thomas Brendan", "Murphy", role = "ctb",
                    comment = c(ORCID = "0000-0002-5668-7046")),
             person("Michael", "Fop", role = "ctb",
                    comment = c(ORCID = "0000-0003-3936-2757")))
Chris Fraley [aut],
  Adrian E. Raftery [aut] (<https://orcid.org/0000-0002-6589-301X>),
  Luca Scrucca [aut, cre] (<https://orcid.org/0000-0003-3826-0484>),
  Thomas Brendan Murphy [ctb] (<https://orcid.org/0000-0002-5668-7046>),
  Michael Fop [ctb] (<https://orcid.org/0000-0003-3936-2757>)