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mmtfa: Model-Based Clustering and Classification with Mixtures of Modified t Factor Analyzers
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.
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Package details |
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| Author | Jeffrey L. Andrews, Paul D. McNicholas, and Mathieu Chalifour |
| Maintainer | Jeffrey L. Andrews <[email protected]> |
| License | GPL (>= 2) |
| Version | 0.3 |
| Package repository | View on CRAN |
| Installation |
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