Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Cristina Tortora,Aisha ElSherbiny, Ryan P. Browne, Brian C. Franczak, and Paul D. McNicholas. |
| Maintainer | Cristina Tortora <ctortora@math.mcmaster.ca> |
| License | GPL (>= 2) |
| Version | 1.9 |
| Package repository | View on R-Forge |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the MixGHD package in your browser
Any scripts or data that you put into this service are public.
