sumbose/iRF: Iterative Random Forests

iteratively grows weighted random forests (for binary classification and regression), finds high-order feature interactions in a stable fashion

Getting started

Package details

AuthorSumanta Basu and Karl Kumbier (based on source codes from the R package 'randomForest' by Andy Liaw and Matthew Wiener and the original Fortran codes by Leo Breiman and Adele Cutler)
MaintainerKarl Kumbier <kkumbier@berkeley.edu>
LicenseGPL-3
Version3.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sumbose/iRF")
sumbose/iRF documentation built on March 12, 2021, 7:36 a.m.