Package: MSclust
Type: Package
Title: Multiple-Scaled Clustering
Version: 1.0.4
Date: 2024-04-21
Authors@R: c(person("Cristina", "Tortora", role = c("aut", "cre","cph"), email = "grikris1@gmail.com", comment = c(ORCID = "0000-0001-8351-3730")),
             person("Antonio", "Punzo", role = c("aut"), comment = c(ORCID = "0000-0001-7742-1821")),
             person("Louis", "Tran", role = c("aut")))
Maintainer: Cristina Tortora <grikris1@gmail.com>
Description: Model based clustering using the multivariate multiple
        Scaled t (MST) and multivariate multiple scaled contaminated
        normal (MSCN) distributions. The MST is an extension of the
        multivariate Student-t distribution to include flexible tail
        behaviors, Forbes, F. & Wraith, D. (2014)
        <doi:10.1007/s11222-013-9414-4>. The MSCN represents a
        heavy-tailed generalization of the multivariate normal (MN)
        distribution to model elliptical contoured scatters in the
        presence of mild outliers (also referred to as "bad" points)
        and automatically detect bad points, Punzo, A. & Tortora, C.
        (2021) <doi:10.1177/1471082X19890935>.
Depends: R (>= 3.5)
Imports: gtools, Matrix, mclust, mnormt, mvtnorm, psych, cluster,
        ggplot2, GGally
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-07-03 07:34:33 UTC; root
Author: Cristina Tortora [aut, cre, cph]
        (<https://orcid.org/0000-0001-8351-3730>), Antonio Punzo [aut]
        (<https://orcid.org/0000-0001-7742-1821>), Louis Tran [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2024-04-23 02:35:12 UTC
RemoteUrl: https://github.com/cran/MSclust
RemoteRef: HEAD
RemoteSha: b4033a5d3a1fc4ac8d45893558ac1b0bb005713b