MixGHD

R package 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.


References in zbMATH (referenced in 12 articles , 1 standard article )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Lee, Sharon X.; McLachlan, Geoffrey J.: An overview of skew distributions in model-based clustering (2022)
  2. Cristina Tortora, Ryan P. Browne, Aisha ElSherbiny, Brian C. Franczak, Paul D. McNicholas: Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package (2021) not zbMATH
  3. Lee, Sharon X.; Lin, Tsung-I.; McLachlan, Geoffrey J.: Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions (2021)
  4. Almodóvar-Rivera, Israel A.; Maitra, Ranjan: Kernel-estimated nonparametric overlap-based syncytial clustering (2020)
  5. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  6. Gallaugher, Michael P. B.; McNicholas, Paul D.: On fractionally-supervised classification: weight selection and extension to the multivariate (t)-distribution (2019)
  7. Tortora, Cristina; Franczak, Brian C.; Browne, Ryan P.; McNicholas, Paul D.: A mixture of coalesced generalized hyperbolic distributions (2019)
  8. Jeffrey Andrews; Jaymeson Wickins; Nicholas Boers; Paul McNicholas: teigen: An R Package for Model-Based Clustering and Classification via the Multivariate t Distribution (2018) not zbMATH
  9. Mahdi Teimouri; Mahdi Torshizi; Adel Mohammadpour; Saralees Nadarajah: alphastable: An R Package for Modelling Multivariate Stable and Mixture of Symmetric Stable Distributions (2018) arXiv
  10. Tortora, Cristina; McNicholas, Paul D.; Browne, Ryan P.: A mixture of generalized hyperbolic factor analyzers (2016)
  11. Sharon X. Lee, Geoffrey J. McLachlan: EMMIXcskew: an R Package for the Fitting of a Mixture of Canonical Fundamental Skew t-Distributions (2015) arXiv
  12. Wraith, Darren; Forbes, Florence: Location and scale mixtures of Gaussians with flexible tail behaviour: properties, inference and application to multivariate clustering (2015)