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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
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providing 
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