Filter_mRMR: FRESA.CAD wrapper of mRMRe::mRMR.classic
In FRESA.CAD: Feature Selection Algorithms for Computer Aided Diagnosis
mRMR.classic_FRESA R Documentation
FRESA.CAD wrapper of mRMRe::mRMR.classic
Description
Returns the positive MI-scored set of maximum relevance minimum redundancy (mRMR) features returned by the mMRM.classic function
Usage
mRMR.classic_FRESA(data=NULL, Outcome=NULL,feature_count=0,...)
Arguments
data
The data frame
Outcome
The outcome feature
feature_count
The number of features to return
...
Extra parameters to be passed to the mRMRe::mMRM.classic function
Value
Named vector with the MI-score of the selected features
Author(s)
Jose G. Tamez-Pena
See Also
mRMRe::mRMR.classic
FRESA.CAD documentation built on June 26, 2024, 1:07 a.m.
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| mRMR.classic_FRESA | R Documentation |
FRESA.CAD wrapper of mRMRe::mRMR.classic
Description
Returns the positive MI-scored set of maximum relevance minimum redundancy (mRMR) features returned by the mMRM.classic function
Usage
mRMR.classic_FRESA(data=NULL, Outcome=NULL,feature_count=0,...)
Arguments
data |
The data frame |
Outcome |
The outcome feature |
feature_count |
The number of features to return |
... |
Extra parameters to be passed to the |
Value
Named vector with the MI-score of the selected features
Author(s)
Jose G. Tamez-Pena
See Also
mRMRe::mRMR.classic
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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