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.
| Version: | 0.3 |
| Imports: | parallel, mvnfast, matrixStats |
| Published: | 2018-06-15 |
| Author: | Jeffrey L. Andrews, Paul D. McNicholas, and Mathieu Chalifour |
| Maintainer: | Jeffrey L. Andrews <jeff.andrews at ubc.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| CRAN checks: | mmtfa results |
| Reference manual: | mmtfa.pdf |
| Package source: | mmtfa_0.3.tar.gz |
| Windows binaries: | r-devel: mmtfa_0.3.zip, r-devel-gcc8: mmtfa_0.3.zip, r-release: mmtfa_0.3.zip, r-oldrel: mmtfa_0.3.zip |
| OS X binaries: | r-release: mmtfa_0.3.tgz, r-oldrel: mmtfa_0.3.tgz |
| Old sources: | mmtfa archive |
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