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

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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AuthorJeffrey L. Andrews, Paul D. McNicholas, and Mathieu Chalifour
Date of publication2015-06-14 00:22:42
MaintainerJeffrey L. Andrews <>
LicenseGPL (>= 2)

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