Package: sda
Version: 1.3.8
Date: 2021-11-21
Title: Shrinkage Discriminant Analysis and CAT Score Variable Selection
Author: Miika Ahdesmaki, Verena Zuber, Sebastian Gibb, and Korbinian Strimmer
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>
Depends: R (>= 3.0.2), entropy (>= 1.3.1), corpcor (>= 1.6.10), fdrtool
        (>= 1.2.17)
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: 2021-11-21 17:07:03 UTC; strimmer
Repository: CRAN
Date/Publication: 2021-11-21 17:50:02 UTC
Built: R 4.0.5; ; 2022-04-17 19:42:41 UTC; windows
