mmtfa-package

mmtfapackage

MMtFA

<p>Fits mixtures of multivariate modified t-factor analyzers via the alternating expectation-conditional maximization algorithm under a clustering or classification paradigm in serial or parallel.</p>

 package

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.

Jeffrey L Andrews

mmtfa

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

mmtfa-package function

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

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

Package:	mmtfa
Type:	Package
Version:	0.3
Date:	2018-06-11
License:	GPL (>=2)
LazyLoad:	yes

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

Description

Arguments

Details

References

See Also