MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

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' is the classical mixture of generalized hyperbolic distributions. The 'MGHFA' is the mixture of generalized hyperbolic factor analyzers for high dimensional data sets. The 'MSGHD', mixture of multiple scaled generalized hyperbolic distributions. The 'cMSGHD' is a 'MSGHD' with convex contour plots. The 'MCGHD', mixture of coalesced generalized hyperbolic distributions is a new more flexible model.

Version: 2.1
Depends: MASS, R (≥ 3.1.3)
Imports: Bessel, stats, mvtnorm, ghyp, numDeriv, mixture, e1071, cluster, methods
Published: 2017-01-06
Author: Cristina Tortora, Aisha ElSherbiny, Ryan P. Browne, Brian C. Franczak, and Paul D. McNicholas.
Maintainer: Cristina Tortora <grikris1 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: MixGHD results


Reference manual: MixGHD.pdf
Package source: MixGHD_2.1.tar.gz
Windows binaries: r-devel: MixGHD_2.1.zip, r-release: MixGHD_2.1.zip, r-oldrel: MixGHD_2.1.zip
OS X El Capitan binaries: r-release: MixGHD_2.1.tgz
OS X Mavericks binaries: r-oldrel: MixGHD_2.1.tgz
Old sources: MixGHD archive


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