forestError: 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 (2021). This package is compatible with several existing packages that implement random forests in R.

Getting started

Package details

AuthorBenjamin Lu and Johanna Hardin
MaintainerBenjamin Lu <b.lu@berkeley.edu>
LicenseGPL-3
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("forestError")

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forestError documentation built on Feb. 12, 2021, 1:06 a.m.