iterative Random Forests

Iteratively grows feature weighted random forests and finds high-order feature interactions in a stable fashion.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("iRF")

2.0.0 by Karl Kumbier, 4 months ago


https://arxiv.org/abs/1706.08457


Browse source code at https://github.com/cran/iRF


Authors: Sumanta Basu and Karl Kumbier (based on source codes from the R packages FSInteract by Hyun Jik Kim and Rajen D. Shah, randomForest by Andy Liaw and Matthew Wiener, and the original Fortran codes by Leo Breiman and Adele Cutler)


Documentation:   PDF Manual  


GPL-2 license


Imports AUC, Matrix, data.table, dplyr, Rcpp, methods, foreach, doParallel, RColorBrewer

Suggests MASS, rgl

Linking to Rcpp

System requirements: C++11


See at CRAN