MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions
Version 2.2

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)) is the classical mixture of generalized hyperbolic distributions. The 'MGHFA' (Tortora et al. (2016)) is the mixture of generalized hyperbolic factor analyzers for high dimensional data sets. The 'MSGHD'(Tortora et al. (2016)), mixture of multiple scaled generalized hyperbolic distributions. The 'cMSGHD' (Tortora et al. (2016)) is a 'MSGHD' with convex contour plots. The 'MCGHD' (Tortora et al. (2016)), mixture of coalesced generalized hyperbolic distributions is a new more flexible model.

Getting started

Package details

AuthorCristina 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].
Date of publication2018-01-31 23:03:05 UTC
MaintainerCristina Tortora <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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MixGHD documentation built on Feb. 1, 2018, 1:04 a.m.