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.

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Description file content

Package
forestError
Type
Package
Title
A Unified Framework for Random Forest Prediction Error Estimation
Version
0.1.0
Author
Benjamin Lu and Johanna Hardin
Maintainer
Benjamin Lu
Description
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.
Imports
Rcpp, foreach, doParallel
Suggests
randomForest
License
GPL-3
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.1
LinkingTo
Rcpp
NeedsCompilation
yes
Packaged
2020-01-10 20:52:25 UTC; benji
Repository
CRAN
Date/Publication
2020-01-14 11:30:06 UTC

install.packages('forestError')

0.1.0

10 days ago

Benjamin Lu

GPL-3

Imports

Rcpp, foreach, doParallel

Suggests

randomForest

Discussions