prediction-methods

prediction,matrix,ANY,matrix,missing-method

prediction,data.frame,missing,data.frame,formula-method

prediction,ExpressionSet,character,ExpressionSet,missing-method

multivariate

This package provides a comprehensive collection of various microarray-based classification algorithms
both from Machine Learning and Statistics.
Variable Selection, Hyperparameter tuning, Evaluation and Comparison can be performed
combined or stepwise in a user-friendly environment.

Christoph Bernau

Synthesis of microarray-based classification

prediction-methods function

<dl> <dt>X.tr = "matrix", X.new="matrix", y.tr='any',f = "missing"</dt><dd>signature 1</dd> <dt>X.tr = "data.frame", X.new="data.frame", y.tr = "missing", f = "formula"</dt><dd>signature 2</dd> <dt>X.tr = "ExpressionSet",X.new = "ExpressionSet", y.tr = "character", f = "missing"</dt><dd>signature 3</dd> </dl> For further argument and output information, consult
<code><a rd-options="" href="/link/classification?package=CMA&version=1.30.0" data-mini-rdoc="CMA::classification">classification</a></code>.

Methods

General method for predicting class lables of new observations

prediction-methods: General method for predicting class lables of new observations

Description

Arguments

Methods