Package: MixGHD
Type: Package
Title: Model Based Clustering, Classification and Discriminant Analysis
        Using the Mixture of Generalized Hyperbolic Distributions
Version: 2.3.1
Date: 2019-03-12
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 Amos Donald D. [ctb].
Maintainer: Cristina Tortora <grikris1@gmail.com>
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'(Tortora et al. (2016) <arXiv:1403.2332v7>), mixture of  multiple scaled generalized hyperbolic distributions. The 'cMSGHD' (Tortora et al. (2016) <arXiv:1403.2332v7>) is a 'MSGHD' with convex contour plots. The 'MCGHD' (Tortora et al. (2016) <arXiv:1403.2332v7>), mixture of  coalesced generalized hyperbolic distributions is a new more flexible model.
Imports: Bessel,stats, mvtnorm, ghyp, numDeriv, mixture, e1071,cluster,
        methods
Depends: MASS, R (>= 3.1.3)
NeedsCompilation: yes
License: GPL (>= 2)
Packaged: 2019-03-18 06:42:47 UTC; cristina
Repository: CRAN
Date/Publication: 2019-03-18 07:23:30 UTC
SystemRequirements: GNU make
