teigen：一个通过多元t分布进行基于模型聚类和分类的R包

IF 5.4 2区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Software Pub Date : 2018-02-27 DOI:10.18637/JSS.V083.I07

J. Andrews, Jaymeson R. Wickins, Nicholas M. Boers, P. McNicholas

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引用次数: 49

摘要

介绍了teigen R包，并将其用于基于模型的聚类和分类。多元t分布的tEIGEN族是通过成分协方差矩阵的特征分解和随后的成分约束形成的。teigen包实现了所有以前发布的teigen家族成员以及八个额外的模型:四个多变量和四个单变量。所得到的32个混合模型以串行和并行方式实现，并具有有用的专用功能。给出了说明teigen功能的方法和示例。

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teigen: An R Package for Model-Based Clustering and Classification via the Multivariate t Distribution

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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来源期刊

Journal of Statistical Software 工程技术-计算机：跨学科应用

CiteScore

10.70

自引率

1.70%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.