Package: sda
Version: 1.3.9
Date: 2025-04-08
Title: Shrinkage Discriminant Analysis and CAT Score Variable Selection
Authors@R: c(person("Miika", "Ahdesmaki", role = "aut"),
  person("Verena", "Zuber", role = "aut"),
  person("Sebastian", "Gibb", role = "aut"),
  person("Korbinian", "Strimmer", role = c("aut", "cre"),
  email = "strimmerlab@gmail.com"))
Depends: R (>= 3.4.0), entropy (>= 1.3.2), corpcor (>= 1.6.10), fdrtool
        (>= 1.2.18)
Suggests: crossval
Imports: graphics, stats, utils
Enhances: care
Description: 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.
License: GPL (>= 3)
URL: https://strimmerlab.github.io/software/sda/
NeedsCompilation: no
Packaged: 2025-04-08 08:28:13 UTC; strimmer
Author: Miika Ahdesmaki [aut],
  Verena Zuber [aut],
  Sebastian Gibb [aut],
  Korbinian Strimmer [aut, cre]
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-08 10:00:06 UTC
Built: R 4.4.3; ; 2026-02-02 02:11:12 UTC; windows
