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sda

Shrinkage Discriminant Analysis and CAT Score Variable Selection
Miika Ahdesmaki, Verena Zuber, Sebastian Gibb, and Korbinian Strimmer
GPL (>= 3)
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.
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Package Version Released
sda 1.3.1 1 year 15 weeks ago
sda 1.3.0 1 year 33 weeks ago
sda 1.2.4 1 year 37 weeks ago
sda 1.2.3 2 years 3 weeks ago
sda 1.2.2 2 years 17 weeks ago
sda 1.2.1 2 years 47 weeks ago
sda 1.2.0 3 years 24 weeks ago
sda 1.1.0
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