mixture

Mixture Models for Clustering and Classification

Ryan P. Browne, Nik Pocuca, Paul D. McNicholas

Last update: 30 January 2024

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 2.0.5, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5.1, 1.5, 2.0.0, 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.0.6, 2.1.0, 2.1.1

Source code repository: https://github.com/cran/mixture

Description

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>.

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