Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Jeffrey L. Andrews, Paul D. McNicholas, and Mathieu Chalifour |
| Maintainer | Jeffrey L. Andrews <jeff.andrews@ubc.ca> |
| License | GPL (>= 2) |
| Version | 0.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the mmtfa package in your browser
Any scripts or data that you put into this service are public.
