Package: MixGHD
Type: Package
Title: Model Based Clustering, Classification and Discriminant Analysis
        Using the Mixture of Generalized Hyperbolic Distributions
Version: 1.5
Date: 2015-4-29
Author: Cristina Tortora, Ryan P. Browne, Brian C. Franczak and Paul D. McNicholas.
Maintainer: Cristina Tortora <ctortora@math.mcmaster.ca>
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' 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.
Imports: Bessel,stats, mvtnorm, ghyp, numDeriv, mixture
Depends: MASS, mclust, R (>= 3.1.1)
NeedsCompilation: no
License: GPL (>= 2)
Packaged: 2015-04-30 20:10:45 UTC; ctortora
Repository: CRAN
Date/Publication: 2015-05-01 00:57:18
Built: R 3.1.3; ; 2015-05-11 16:10:12 UTC; unix
