mixture
cranv2.2.0Mixture 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)001
License GPL (>= 2)0 versions1 maintainers3 deps255 weekly dl
https://CRAN.R-project.org/package=mixture45
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curl https://depscope.dev/api/check/cran/mixtureFirst published · 2025-12-18 17:53:23
Last updated · 2025-12-18T16:10:09+00:00