A Unified Framework for Random Forest Prediction Error Estimation

Estimates the conditional error distributions of random forest predictions and common parameters of those distributions, including conditional mean squared prediction errors, conditional biases, and conditional quantiles, by out-of-bag weighting of out-of-bag prediction errors as proposed by Lu and Hardin (2019+) . This package is compatible with several existing packages that implement random forests in R.


Reference manual

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


0.1.0 by Benjamin Lu, 4 days ago

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

Authors: Benjamin Lu and Johanna Hardin

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, foreach, doParallel

Suggests randomForest

Linking to Rcpp

See at CRAN