transDA-package: Transformation Discriminant Analysis

In transDA: Transformation Discriminant Analysis

Transformation Discriminant Analysis

Description

Transformation and mixture discriminant analysis.

Details

Package:	transDA
Type:	Package
Version:	1.0.2
Date:	2025-9-4
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.

Author(s)

Jing Li and Yana Melnykov

Maintainer: Jing Li [e-mail]

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.

Jing Li & Yana Melnykov (2025) Transformation Discriminant Analysis. (under review)

See Also

tda, predict.tda

Examples

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

transDA documentation built on Sept. 9, 2025, 5:53 p.m.