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.


[Package robqda version 1.0 Index]