robqda-package {robqda} | R Documentation |
Robust Quadratic Discriminant Analysis
Description
Robust quadratic discriminant analysis including cross-validation. The Minimum Covariance Determinant does most of the job. References: Friedman J., Hastie T. and Tibshirani R. (2009). The elements of statistical learning, 2nd edition. Springer, Berlin. <doi:10.1007/978-0-387-84858-7>.
Details
Package: | robqda |
Type: | Package |
Version: | 1.0 |
Date: | 2024-12-03 |
License: | GPL-2 |
Maintainers
Michail Tsagris <mtsagris@uoc.gr>.
Author(s)
Michail Tsagris mtsagris@uoc.gr
References
Friedman J.H. (1989): Regularized Discriminant Analysis. Journal of the American Statistical Association 84(405): 165–175.
Friedman Jerome, Trevor Hastie and Robert Tibshirani (2009). The elements of statistical learning, 2nd edition. Springer, Berlin.
Tsagris M., Preston S. and Wood A.T.A. (2016). Improved classification for
compositional data using the \alpha
-transformation.
Journal of Classification, 33(2): 243–261.