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 |
| 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:
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