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RFgroove (version 1.1)

Importance Measure and Selection for Groups of Variables with Random Forests

Description

Variable selection tools for groups of variables and functional data based on a new grouped variable importance with random forests.

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Version

Install

install.packages('RFgroove')

Monthly Downloads

16

Version

1.1

License

GPL (>= 2.0)

Maintainer

Baptiste Gregorutti

Last Published

March 17th, 2016

Functions in RFgroove (1.1)

summary.fRFE

Summary function for object of class fRFE
fpca

Functional Principal Component Analysis
selectGroup

Grouped variable selection procedure
toyRegFD

A functional dataset for regression
varImpGroup

A grouped variable importance with Random Forests
plot.importance

Plot function for object of class importance
print.fRFE

Print function for object of class fRFE
RFgroove-package

Importance Measure and Selection for Groups of Variables with Random Forests
hardThresholding

Wavelets hard-thresholding rule for independents processes
selectFunctional

Grouped variable selection procedure for functional data
toyReg

A toy data of regression
plot.fRFE

Plot function for object of class fRFE
selectLevel

Wavelet levels selection procedure
toyClassif

A toy data of classification
projectWavelet

Projection in a wavelet basis