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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