pls_rfCMA-methods {CMA}R Documentation

Partial Least Squares followed by random forests

Description

This method constructs a classifier that extracts Partial Least Squares components used to generate Random Forests, s. rfCMA. The Partial Least Squares components are computed by the package plsgenomics.

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 pls_rfCMA.


[Package CMA version 1.0.0 Index]