iterative Random Forests

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


Reference manual

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2.0.0 by Karl Kumbier, 2 months ago

Browse source code at

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