Package: MixGHD
Type: Package
Title: Model Based Clustering, Classification and Discriminant Analysis
        Using the Mixture of Generalized Hyperbolic Distributions
Version: 2.3.7
Date: 2022-05-10
Maintainer: Cristina Tortora <grikris1@gmail.com>
Author: Cristina Tortora [aut, cre, cph], Aisha ElSherbiny [com], Ryan
        P. Browne [aut, cph], Brian C. Franczak [aut, cph], and Paul D.
        McNicholas [aut, cph], and Donald D. Amos [ctb].
Description: Carries out model-based clustering, classification and
        discriminant analysis using five different models. The models
        are all based on the generalized hyperbolic distribution. The
        first model 'MGHD' (Browne and McNicholas (2015)
        <doi:10.1002/cjs.11246>) is the classical mixture of
        generalized hyperbolic distributions. The 'MGHFA' (Tortora et
        al. (2016) <doi:10.1007/s11634-015-0204-z>) is the mixture of
        generalized hyperbolic factor analyzers for high dimensional
        data sets. The 'MSGHD' is the mixture of multiple scaled
        generalized hyperbolic distributions, the 'cMSGHD' is a 'MSGHD'
        with convex contour plots and the 'MCGHD', mixture of coalesced
        generalized hyperbolic distributions is a new more flexible
        model (Tortora et al. (2019)<doi:10.1007/s00357-019-09319-3>.
        The paper related to the software can be found at
        <doi:10.18637/jss.v098.i03>.
Imports: Bessel,stats, mvtnorm, ghyp, numDeriv, mixture, e1071,cluster,
        methods
Depends: MASS, R (>= 3.1.3)
NeedsCompilation: no
License: GPL (>= 2)
Packaged: 2026-07-13 09:29:56 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-05-11 10:50:07 UTC
RemoteUrl: https://github.com/cran/MixGHD
RemoteRef: HEAD
RemoteSha: 15cc4f93efde88be56fdb41ccc3c466983d8c2e5