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
correlation-adjusted t-scores (CAT scores). Variable selection error
is controlled using false non-discovery rates or higher criticism.