sda (1.3.7)

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Shrinkage Discriminant Analysis and CAT Score Variable Selection.

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.

Maintainer: Korbinian Strimmer
Author(s): Miika Ahdesmaki, Verena Zuber, Sebastian Gibb, and Korbinian Strimmer

License: GPL (>= 3)

Uses: corpcor, entropy, fdrtool, crossval
Reverse depends: st
Reverse suggests: caret, crossval, fscaret, mlr

Released over 4 years ago.

13 previous versions



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