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: 2022-05-10 17:56:15 UTC; 011543324
Repository: CRAN
Date/Publication: 2022-05-11 11:50:07 UTC
Built: R 4.6.0; ; 2026-04-27 10:56:33 UTC; unix
