The R package iRF implements iterative Random Forests, a method for
iteratively growing ensemble of weighted decision trees, and detecting
high-order feature interactions by analyzing feature usage on decision paths.
This version uses source codes from the R package randomForest by Andy Liaw
and Matthew Weiner and the original Fortran codes by Leo Breiman and Adele
Cutler.
To download and install the package, use devtools
library(devtools)
devtools::install_github("sumbose/iRF")You can subsequently load the package with the usual R commands:
library(iRF)OSX users may need to intall gfortran to compile. This can be done with the following commands:
curl -O http://r.research.att.com/libs/gfortran-4.8.2-darwin13.tar.bz2
sudo tar fvxz gfortran-4.8.2-darwin13.tar.bz2 -C /For a detailed description on the usage of iRF, see the vignette.