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mmtfa (version 0.3)

Model-Based Clustering and Classification with Mixtures of Modified t Factor Analyzers

Description

Fits a family of mixtures of multivariate t-distributions under a continuous t-distributed latent variable structure for the purpose of clustering or classification. The alternating expectation-conditional maximization algorithm is used for parameter estimation.

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Version

Install

install.packages('mmtfa')

Monthly Downloads

31

Version

0.3

License

GPL (>= 2)

Last Published

June 15th, 2018

Functions in mmtfa (0.3)

mmtfa-package

mmtfa: Model-Based Clustering and Classification with Mixtures of Modified Multivariate t Factor Analyzers
mmtfa

mmtfa: Function for Model-Based Clustering and Classification with Mixtures of Multivariate t Factor Analyzers