wmc-methods

wmc,matrix,numeric,numeric-method


  Perform tuning / selection bias correction for a matrix of subsampling fold errors
  for the following signature:


tuning bias

 selection bias

 corrected misclassification rate

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

wmc-methods function

<dl> <dt>mcr.m="matrix",n.tr="numeric",n.ts="numeric"</dt><dd>signature 1</dd> </dl> For further argument and output information, consult
<code><a rd-options="" href="/link/wmc?package=CMA&version=1.30.0" data-mini-rdoc="CMA::wmc">wmc</a></code>.

Methods

Perform tuning / selection bias correction for a matrix of subsampling fold errors
  for the following signature:

wmc-methods: General method for tuning / selection bias correction based on a matrix of subsampling fold errors.

Description

Arguments

Methods