transDA (version 1.0.1)

transDA-package: Transformation Discriminant Analysis

Description

Transformation and mixture discriminant analysis.

Author

Jing Li and Yana Melnykov

Maintainer: Jing Li

Details

Package:	transDA
Type:	Package
Version:	1.0.0
Date:	2024-6-10
License:	GPL (>= 2)
LazyLoad:	no

Function 'tda' is the main function of the package that allows running traditional linear and quadratic discriminant procedures as well as more flexible options such as mixture discriminant analysis, transformation discriminant analysis, or their combination.

Function 'predict.tda' makes classification predictions for a provided testing data set.

References

Hastie, T., & Tibshirani, R. (1996). Discriminant analysis by Gaussian mixtures. Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1), 155-176.

Yana Melnykov & Jing Li. (2024) Transformation Discriminant Analysis. (under review)

See Also

tda, predict.tda

Examples

set.seed(123)
data(iris)
MDA <- tda(x = iris[,1:4], max_k = 2, ID = iris$Species, trans = FALSE)
summary(MDA)