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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.
Versions
Package Version Released
sda 1.3.1 2 years 38 weeks ago
sda 1.3.0 3 years 3 weeks ago
sda 1.2.4 3 years 7 weeks ago
sda 1.2.3 3 years 26 weeks ago
sda 1.2.2 3 years 39 weeks ago
sda 1.2.1 4 years 17 weeks ago
sda 1.2.0 4 years 47 weeks ago
sda 1.1.0
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