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 1.0.0 Index]