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.

Shrinkage Discriminant Analysis and CAT Score Variable Selection

package-ubuntu-20.04-r-4.0.5#cran#sda-1.3.7

<p>These are not to be called by the user (or in some cases are just
waiting for proper documentation to be written).
</p>

package-ubuntu-20.04-r-4.0.5#cran#sda-1.3.7#docs#sda-internal

sda-internal

Description

Note

sda

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