transDA-package {transDA} | R Documentation |
Transformation Discriminant Analysis
Description
Transformation and mixture discriminant analysis.
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.
Author(s)
Jing Li and Yana Melnykov
Maintainer: Jing Li jli178@crimson.ua.edu
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
Examples
set.seed(123)
data(iris)
MDA <- tda(x = iris[,1:4], max_k = 2, ID = iris$Species, trans = FALSE)
summary(MDA)
[Package transDA version 1.0.1 Index]