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.


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install.packages("forestError")

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