Package: sda
Version: 1.3.6
Date: 2015-03-21
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 (>= 2.15.1), entropy (>= 1.2.1), corpcor (>= 1.6.7), fdrtool
        (>= 1.2.14)
Suggests: crossval
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: 2015-03-21 12:46:04 UTC; strimmer
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-21 14:42:45
