README.md

In michaelfop/damda: Dimension-Adaptive Mixture Discriminant Analysis

damda - Dimension-Adaptive Discriminant Analysis

An R package implementing Dimension-Adaptive Mixture Discriminant Analysis for supervised classification in settings where the test data might include unknown classes and/or being recorded on additional dimensions/variables. The package also implements a variable selection procedure for detecting the most informative variables for classification in high-dimensional situations.

Installation

You can install the package directly from GitHub:

# install.packages("devtools")
devtools::install_github("michaelfop/damda")

Usage

Check the package vignette for some examples

vignette("damda")

References

Fop, M., Mattei, P. A., Bouveyron, C., Murphy, T. B. (2021). Unobserved classes and extra variables in high-dimensional discriminant analysis. Advances in Data Analysis and Classification, accepted. ArXiv preprint.

michaelfop/damda documentation built on Dec. 21, 2021, 5:57 p.m.