Package: otrimle
Type: Package
Title: Robust Model-Based Clustering
Description: Performs robust cluster analysis allowing for outliers and
        noise that cannot be fitted by any cluster. The data are
        modelled by a mixture of Gaussian distributions and a noise
        component, which is an improper uniform distribution covering
        the whole Euclidean space. Parameters are estimated by (pseudo)
        maximum likelihood. This is fitted by a EM-type algorithm. See
        Coretto and Hennig (2016) <doi:10.1080/01621459.2015.1100996>,
        and Coretto and Hennig (2017)
        <https://jmlr.org/papers/v18/16-382.html>.
Version: 2.0
Date: 2021-05-28
Authors@R: c(person("Pietro", "Coretto",
                    role = c("aut", "cre"),
		    email = "pcoretto@unisa.it",
		    comment = "Homepage: <https://pietro-coretto.github.io>"),
             person("Christian", "Hennig",
	             role = c("aut"),
		     email = "christian.hennig@unibo.it",
		     comment = "Homepage:  <https://www.unibo.it/sitoweb/christian.hennig/en>")
		     )
Imports: stats, utils, graphics, grDevices, mvtnorm, parallel, foreach,
        doParallel, robustbase, mclust
License: GPL (>= 2)
LazyData: TRUE
NeedsCompilation: no
Packaged: 2026-09-30 10:43:25 UTC; root
Author: Pietro Coretto [aut, cre] (Homepage:
        <https://pietro-coretto.github.io>), Christian Hennig [aut]
        (Homepage: <https://www.unibo.it/sitoweb/christian.hennig/en>)
Maintainer: Pietro Coretto <pcoretto@unisa.it>
Repository: https://cran.r-universe.dev
Date/Publication: 2021-05-29 05:30:02 UTC
RemoteUrl: https://github.com/cran/otrimle
RemoteRef: HEAD
RemoteSha: 14c0d746259f8940ba5859269b180b67534010c6