sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection
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 CAT scores (correlation-adjusted t-scores).
Variable selection error is controlled using false
non-discovery rates or higher criticism scores.