Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Jeffrey L. Andrews, Jaymeson R. Wickins, Nicholas M. Boers, Paul D. McNicholas
Title: teigen: An R Package for Model-Based Clustering and Classification via the Multivariate t Distribution
Abstract: The teigen R package is introduced and utilized for model-based clustering and classification. The tEIGEN family of mixtures of multivariate t distributions is formed via an eigen-decomposition of the component covariance matrices and subsequent componentwise constraints. The teigen package implements all previously published tEIGEN family members as well as eight additional models: four multivariate and four univariate. The resulting family of 32 mixture models is implemented in both serial and parallel, with useful dedicated functions. Methodology and examples that illustrate teigen's functionality are presented.

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Paper: teigen: An R Package for Model-Based Clustering and Classification via the Multivariate t Distribution     Download PDF (Downloads: 903)
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teigen_2.2.2.tar.gz: R source package Download (Downloads: 58; 37KB)
v83i07.R: R replication code Download (Downloads: 71; 7KB)

DOI: 10.18637/jss.v083.i07

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.