sda: Shrinkage Discriminant Analysis and Feature Selection

This package provides an efficient framework for high-dimensional linear and diagonal discriminant analysis with feature selection. The classifier is trained using Stein-type shrinkage estimators and features are ranked using correlation-adjusted t-scores. Feature selection is controlled using false non-discovery rates or higher criticism scores.

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