teigen-package {teigen}R Documentation

teigen: Model-Based Clustering and Classification with the Multivariate t Distribution

Description

Fits mixtures of multivariate t-distributions (with eigen-decomposed covariance structure) via the expectation conditional-maximization algorithm under a clustering or classification paradigm.

Details

Package: teigen
Type: Package
Version: 2.2.2
Date: 2018-02-15
License: GPL (>=2)
LazyLoad: yes

Author(s)

Jeffrey L. Andrews, Jaymeson R. Wickins, Nicholas M. Boers, Paul D. McNicholas

Maintained by: Jeffrey L. Andrews <jeff.andrews@ubc.ca>

References

Andrews JL, Wickins JR, Boers NM, and McNicholas PD (2018). “teigen: An R package for model-based clustering and classification via the multivariate t distribution” Journal of Statistical Software 83(7), 1–32.

Andrews JL and McNicholas PD (2012). “Model-based clustering, classification, and discriminant analysis with the multivariate t-distribution: The tEIGEN family” Statistics and Computing 22(5), 1021–1029.

Andrews JL, McNicholas PD, and Subedi S (2011) “Model-based classification via mixtures of multivariate t-distributions” Computational Statistics and Data Analysis 55, 520–529.

See Also

teigen for main function


[Package teigen version 2.2.2 Index]