c(person("Chris", "Fraley", role = "aut"),
person("Adrian E.", "Raftery", role = "aut"),
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],
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>)

Model-based cluster analysis (older version)

C. Fraley and A.E. Raftery, Dept. of Statistics,
University of Washington
R port by Ron Wehrens
Model-based cluster analysis: the 1998 version of MCLUST

Extend the functionality of the 'mclust' package for
Gaussian finite mixture modelling by including:
density estimation for data with bounded support
(Scrucca, 2019 <doi:10.1002/bimj.201800174>);
modal clustering using MEM algorithm for Gaussian mixtures
(Scrucca, 2021 <doi:10.1002/sam.11527>).
stats, graphics, grDevices, methods, foreach, iterators,
utils, Rcpp (>= 0.12)
parallel, doParallel, doRNG (>= 1.6), cli, crayon, knitr (>=
1.12), rmarkdown (>= 0.9)

Extend the functionality of the 'mclust' package for
Gaussian finite mixture modeling by including:
density estimation for data with bounded support
(Scrucca, 2019 <doi:10.1002/bimj.201800174>);
modal clustering using MEM algorithm for Gaussian mixtures
(Scrucca, 2021 <doi:10.1002/sam.11527>);
entropy estimation via Gaussian mixture modeling
(Robin & Scrucca, 2023 <doi:10.1016/j.csda.2022.107582>).

Given a set of data points, a clustering is defined as a disjoint partition
where each pair of sets in a partition has no overlapping elements.
This package provides a collection of methods that play a role somewhat similar to
distance or metric that measures similarity of two clusterings - or partitions.
For a more detailed description, see Meila, M. (2005) <doi:10.1145/1102351.1102424>.