shrinkldaCMA-methods {CMA} | R Documentation

## Shrinkage linear discriminant analysis

### Description

Linear Discriminant Analysis combined with the James-Stein-Shrinkage approach of Schaefer and Strimmer (2005) for the covariance matrix.

Currently still an experimental version. For `S4` method information, see shrinkldaCMA-methods

### Methods

X = "matrix", y = "numeric", f = "missing"

  signature 1

X = "matrix", y = "factor", f = "missing"

  signature 2

X = "data.frame", y = "missing", f = "formula"

  signature 3

X = "ExpressionSet", y = "character", f = "missing"

  signature 4

For further argument and output information, consult `shrinkldaCMA`.

[Package CMA version 1.46.0 Index]