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.

Package details

AuthorJeffrey L. Andrews, Paul D. McNicholas, and Mathieu Chalifour
MaintainerJeffrey L. Andrews <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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mmtfa documentation built on June 15, 2018, 9:12 a.m.