Inference for Random Forests

A set of add on tools for the 'randomForest' package.

R package for generating prediction and prediction variances from random forests. Read the vignettes for an introduction to the package (vignette('RFinfer-examples')) and the theory behind the infinitesimal jackknife applied to random forest predictions (vignette('IJ_vig')).

Options for random forest include using a subsample or bootstrap sample for each tree and using either conditional inference tree or traditional CART used as base learners.

Install from CRAN: install.packages('RFinfer')
Install latest version: devtools::install_github('cole-brokamp/RFinfer')

This package is based on work completed for my dissertation. For more details, see:


RFinfer 0.2

  • Added a file to track changes to the package.

Reference manual

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0.2.0 by Cole Brokamp, a year ago

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Browse source code at

Authors: Cole Brokamp

Documentation:   PDF Manual  

GPL license

Imports Matrix, party, pbapply

Depends on randomForest

Suggests knitr, rmarkdown, ggplot2, nhanesA

See at CRAN