Package: sda
Version: 1.3.7
Date: 2015-07-08
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 (>= 1.2.1), corpcor (>= 1.6.8), fdrtool
        (>= 1.2.15)
Suggests: crossval (>= 1.0.3)
Imports: graphics, stats, utils
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: http://strimmerlab.org/software/sda/
Packaged: 2015-07-08 13:33:12 UTC; strimmer
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-07-08 16:28:41
Built: R 3.4.1; ; 2018-10-20 09:52:31 UTC; windows
