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' (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' is the mixture of multiple scaled generalized hyperbolic distributions, the 'cMSGHD' is a 'MSGHD' with convex contour plots and the 'MCGHD', mixture of coalesced generalized hyperbolic distributions is a new more flexible model (Tortora et al. (2019)). The paper related to the software can be found at doi:10.18637/jss.v098.i03.
- Version2.3.7
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- MixGHD citation info
- Last release05/11/2022
Team
Cristina Tortora
Brian C. Franczak
Show author detailsRolesAuthor, Copyright holderPaul D. McNicholas
Show author detailsRolesAuthor, Copyright holderAisha ElSherbiny
Show author detailsRolesCompilerRyan P. Browne
Show author detailsRolesAuthor, Copyright holderDonald D. Amos
Show author detailsRolesContributor
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- Depends1 package
- Imports7 packages
- Reverse Imports1 package