sda: 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.

Install the latest version of this package by entering the following in R:
install.packages("sda")
AuthorMiika Ahdesmaki, Verena Zuber, Sebastian Gibb, and Korbinian Strimmer
Date of publication2015-07-08 16:28:41
MaintainerKorbinian Strimmer <strimmerlab@gmail.com>
LicenseGPL (>= 3)
Version1.3.7
http://strimmerlab.org/software/sda/

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