danno11/SMVCIR: Sliced Mean Variance Covariance Inverse Regression
Sliced Mean Variance Covariance Inverse Regression (SMVCIR) is a form of discriminant analysis that takes into account not only location differences among classes, but also variance and covariance differences between classes. It may be useful both as a classification technique as well as a graphical technique when discriminant coordinates are plotted, and clear separation between classes can be easily seen.
Getting started
Browse package contents
Package details |
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| Author | Joseph McKean, Dan McGuire |
| Maintainer | Dan McGuire <daniel.j.mcguire@wmich.edu> |
| License | None |
| Version | 0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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