plrCMA-methods {CMA}R Documentation

L2 penalized logistic regression

Description

High dimensional logistic regression combined with an L2-type (Ridge-)penalty. Multiclass case is also possible.

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 plrCMA.


[Package CMA version 1.0.0 Index]