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>.

Getting started

Package details

AuthorNik Pocuca [aut] (<https://orcid.org/0000-0001-8365-0751>), Ryan P. Browne [aut] (<https://orcid.org/0000-0003-4543-0218>), Paul D. McNicholas [aut, cre] (<https://orcid.org/0000-0002-2482-523X>)
MaintainerPaul D. McNicholas <mcnicholas@math.mcmaster.ca>
LicenseGPL (>= 2)
Version2.0.6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mixture")

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mixture documentation built on Sept. 27, 2023, 1:06 a.m.