mmtfa-package: mmtfa: Model-Based Clustering and Classification with...

Description Details Author(s) References See Also

Description

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.

Details

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

Author(s)

Jeffrey L. Andrews, Paul D. McNicholas, and Mathieu Chalifour

Maintained by: Jeffrey L. Andrews <jeff.andrews@ubc.ca>

References

Andrews JL and McNicholas PD (2011a), 'Extending mixtures of multivariate t-factor analyzers'. Statistics and Computing 21(3), 361–373.

Andrews JL and McNicholas PD (2011b), 'Mixtures of modified t-factor analyzers for model-based clustering, classification, and discriminant analysis'. Journal of Statistical Planning and Inference 141(4), 1479–1486.

See Also

mmtfa for main function


mmtfa documentation built on May 2, 2019, 1:45 p.m.