Description Details Author(s) References See Also
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.
Package: | mmtfa |
Type: | Package |
Version: | 0.3 |
Date: | 2018-06-11 |
License: | GPL (>=2) |
LazyLoad: | yes |
Jeffrey L. Andrews, Paul D. McNicholas, and Mathieu Chalifour
Maintained by: Jeffrey L. Andrews <jeff.andrews@ubc.ca>
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.
mmtfa
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