Shrinkage Discriminant Analysis and CAT Score Variable Selection

sda page on CRAN.

This package provides an efficient framework for high-dimensional linear and diagonal discriminant analysis with variable selection. The classifier is trained using James-Stein-type shrinkage estimators and predictor variables are ranked using correlation-adjusted t-scores (CAT scores). Variable selection error is controlled using false non-discovery rates or higher criticism.

Current Version: 1.3.6

Authors: Miika Ahdesmäki, Verena Zuber, Sebastian Gibb, and Korbinian Strimmer.

Documentation and Installation:

Quick install:
enter at the R console: install.packages("sda")

Additional Material:

Relevant Publication:


Back to software page.