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: |
0.1 |
Imports: |
parallel, mvnfast, matrixStats |
Published: |
2015-06-14 |
Author: |
Jeffrey L. Andrews, Paul D. McNicholas, and Mathieu Chalifour |
Maintainer: |
Jeffrey L. Andrews <jeffrey.andrews at macewan.ca> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
no |
Materials: |
ChangeLog |
CRAN checks: |
mmtfa results |