mRMR.classic_FRESA

data

Outcome

feature_count

<p>Extra parameters to be passed to the <code>mRMRe::mMRM.classic</code> function</p>

<p>Returns the positive MI-scored set of maximum relevance minimum redundancy (mRMR) features returned by the mMRM.classic function</p>

Feature_Filtering

Contains a set of utilities for building and testing statistical models (linear, logistic,ordinal or COX) for Computer Aided Diagnosis/Prognosis applications. Utilities include data adjustment, univariate analysis, model building, model-validation, longitudinal analysis, reporting and visualization.

mRMR.classic_FRESA: FRESA.CAD wrapper of mRMRe::mRMR.classic

Description

Usage

Arguments

Value

See Also