Importance Measure and Selection for Groups of Variables with Random Forests

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Documentation for package ‘RFgroove’ version 1.1

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RFgroove-package Importance Measure and Selection for Groups of Variables with Random Forests
fpca Functional Principal Component Analysis
hardThresholding Wavelets hard-thresholding rule for independents processes
plot.fRFE Plot function for object of class fRFE
plot.importance Plot function for object of class importance
print.fRFE Print function for object of class fRFE
projectWavelet Projection in a wavelet basis
RFgroove Importance Measure and Selection for Groups of Variables with Random Forests
selectFunctional Grouped variable selection procedure for functional data
selectGroup Grouped variable selection procedure
selectLevel Wavelet levels selection procedure
summary.fRFE Summary function for object of class fRFE
toyClassif A toy data of classification
toyReg A toy data of regression
toyRegFD A functional dataset for regression
varImpGroup A grouped variable importance with Random Forests