Learn R Programming

regda (version 1.0)

Regularised Discriminant Analysis

Description

Regularised discriminant analysis functions. The classical regularised discriminant analysis proposed by Friedman in 1989, including cross-validation, of which the linear and quadratic discriminant analyses are special cases. Further, the regularised maximum likelihood linear discriminant analysis, including cross-validation. References: Friedman J.H. (1989): "Regularized Discriminant Analysis". Journal of the American Statistical Association 84(405): 165--175. . Friedman J., Hastie T. and Tibshirani R. (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. .

Copy Link

Version

Install

install.packages('regda')

Monthly Downloads

149

Version

1.0

License

GPL (>= 2)

Maintainer

Michail Tsagris

Last Published

November 6th, 2023

Functions in regda (1.0)

Cross-validation for the regularised maximum likelihood linear discriminant analysis

Cross-validation for the regularised maximum likelihood linear discriminant analysis
regda-package

Regularised Discriminant Analysis
Regularised discriminant analysis for Euclidean data

Regularised discriminant analysis for Euclidean data
Regularised maximum likelihood linear discriminant analysis

Regularised maximum likelihood linear discriminant analysis
Tuning the parameters of the regularised discriminant analysis

Tuning the parameters of the regularised discriminant analysis