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: 2026-07-02 05:58:24 UTC; root
Author: Miika Ahdesmaki [aut], Verena Zuber [aut], Sebastian Gibb
        [aut], Korbinian Strimmer [aut, cre]
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-04-08 10:00:06 UTC
RemoteUrl: https://github.com/cran/sda
RemoteRef: HEAD
RemoteSha: e63199d889983ff06c3474cf1c09189a2f7d80d7