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 (2019+) <arXiv:1912.07435>. This package is compatible with several existing packages that implement random forests in R.

Version: 0.2.0
Imports: data.table, purrr
Suggests: randomForest
Published: 2020-04-02
Author: Benjamin Lu and Johanna Hardin
Maintainer: Benjamin Lu <b.lu at berkeley.edu>
License: GPL-3
NeedsCompilation: no
Citation: forestError citation info
Materials: README NEWS
CRAN checks: forestError results

Downloads:

Reference manual: forestError.pdf
Package source: forestError_0.2.0.tar.gz
Windows binaries: r-devel: forestError_0.2.0.zip, r-devel-gcc8: forestError_0.1.1.zip, r-release: forestError_0.2.0.zip, r-oldrel: forestError_0.2.0.zip
OS X binaries: r-release: forestError_0.1.1.tgz, r-oldrel: forestError_0.1.1.tgz
Old sources: forestError archive

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