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CMA (version 1.30.0)

plrCMA-methods: L2 penalized logistic regression

Description

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

Arguments

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.