Shrinkage Discriminant Analysis and CAT Score Variable Selection R package sda version 1.3.9 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) 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. Software Depends: R (>= 3.4.0), entropy (>= 1.3.2), corpcor (>= 1.6.10), fdrtool (>= 1.2.18) Imports: graphics, stats, utils Suggests: crossval Enhances: care Korbinian Strimmer <strimmerlab@gmail.com> Comprehensive R Archive Network (CRAN) Miika Ahdesmaki [aut], Verena Zuber [aut], Sebastian Gibb [aut], Korbinian Strimmer [aut, cre] GPL (>= 3) 2025-04-08 application/tgz https://CRAN.R-project.org/package=sda doi:10.32614/CRAN.package.sda