Package: sda
Version: 1.3.1
Date: 2013-08-31
Title: Shrinkage Discriminant Analysis and CAT Score Variable Selection
Author: Miika Ahdesmaki, Verena Zuber, Sebastian Gibb, and Korbinian Strimmer
Maintainer: Korbinian Strimmer <strimmer@uni-leipzig.de>
Depends: R (>= 2.15.1), entropy (>= 1.2.0), corpcor (>= 1.6.6), fdrtool
        (>= 1.2.10)
Suggests:
Description: This package 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 CAT scores (correlation-adjusted t-scores).
   Variable selection error is controlled using false non-discovery rates
   or higher criticism scores.
License: GPL (>= 3)
URL: http://strimmerlab.org/software/sda/
Packaged: 2013-08-31 19:22:34 UTC; strimmer
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-09-01 06:51:32
