Package: MixGHD 2.3.7
Cristina Tortora
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) <doi:10.1002/cjs.11246>) is the classical mixture of generalized hyperbolic distributions. The 'MGHFA' (Tortora et al. (2016) <doi:10.1007/s11634-015-0204-z>) 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)<doi:10.1007/s00357-019-09319-3>. The paper related to the software can be found at <doi:10.18637/jss.v098.i03>.
Authors:
MixGHD_2.3.7.tar.gz
MixGHD_2.3.7.tar.gz(r-4.5-noble)MixGHD_2.3.7.tar.gz(r-4.4-noble)
MixGHD_2.3.7.tgz(r-4.4-emscripten)MixGHD_2.3.7.tgz(r-4.3-emscripten)
MixGHD.pdf |MixGHD.html✨
MixGHD/json (API)
# Install 'MixGHD' in R: |
install.packages('MixGHD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- banknote - Swiss Banknote data
- bankruptcy - Bankruptcy data
- sonar - Sonar data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:15cc4f93ef. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-linux | OK | Nov 06 2024 |
Exports:ARIcMSGHDcoefcontourplDAdCGHDdGHDdMSGHDMCGHDMGHDMGHFAMSGHDplotplot.MixGHDpredictrCGHDrGHDrMSGHDsummarysummary.MixGHD
Dependencies:BesselBHclassclustere1071ghypgmplatticeMASSmixturemvtnormnumDerivproxyRcppRcppArmadilloRcppGSLRmpfr