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mixture: Mixture Models for Clustering and Classification

An implementation of 14 parsimonious mixture models for model-based clustering or model-based classification. Gaussian, Student's t, generalized hyperbolic, variance-gamma or skew-t mixtures are available. All approaches work with missing data. Celeux and Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>, Browne and McNicholas (2014) <doi:10.1007/s11634-013-0139-1>, Browne and McNicholas (2015) <doi:10.1002/cjs.11246>.

Version: 2.1.1
Depends: R (≥ 3.5.0), lattice (≥ 0.20)
Imports: Rcpp (≥ 1.0.2), methods
LinkingTo: Rcpp, RcppArmadillo, BH, RcppGSL
Published: 2024-01-30
DOI: 10.32614/CRAN.package.mixture
Author: Nik Pocuca ORCID iD [aut], Ryan P. Browne ORCID iD [aut], Paul D. McNicholas ORCID iD [aut, cre]
Maintainer: Paul D. McNicholas <mcnicholas at math.mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: GNU GSL
Materials: ChangeLog
In views: Cluster, MissingData
CRAN checks: mixture results

Documentation:

Reference manual: mixture.pdf

Downloads:

Package source: mixture_2.1.1.tar.gz
Windows binaries: r-devel: mixture_2.1.1.zip, r-release: mixture_2.1.1.zip, r-oldrel: mixture_2.1.1.zip
macOS binaries: r-release (arm64): mixture_2.1.1.tgz, r-oldrel (arm64): mixture_2.1.1.tgz, r-release (x86_64): mixture_2.1.1.tgz, r-oldrel (x86_64): mixture_2.1.1.tgz
Old sources: mixture archive

Reverse dependencies:

Reverse imports: Compositional, ContaminatedMixt, MixGHD, oclust

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mixture to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.