mixture (version 2.1.1)

Mixture Models for Clustering and Classification

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) , Browne and McNicholas (2014) , Browne and McNicholas (2015) .

Copy Link

Version

Down Chevron

Install

install.packages('mixture')

Monthly Downloads

1,011

Version

2.1.1

License

GPL (>= 2)

Maintainer

Last Published

January 30th, 2024

Functions in mixture (2.1.1)