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: 2.1.2 Depends: R (≥ 3.5.0), lattice (≥ 0.20) Imports: Rcpp (≥ 1.0.2), methods LinkingTo: Rcpp, RcppArmadillo, BH, RcppGSL Published: 2025-05-06 DOI: 10.32614/CRAN.package.mixture Author: Nik Pocuca [aut], Ryan P. Browne [aut], Paul D. McNicholas [aut, cre], Alexa A. Sochaniwsky [aut] 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=mixture to link to this page.
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