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forestError
View on CRAN: Click
here
Download and install forestError package within the R console
Install from CRAN:
install.packages("forestError")
Install from Github:
library("remotes")
install_github("cran/forestError")
Install by package version:
library("remotes")
install_version("forestError", "1.1.0")
Attach the package and use:
library("forestError")
Maintained by
Benjamin Lu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-14
Latest Update: 2021-08-10
Description:
Estimates the conditional error distributions of random forest
predictions and common parameters of those distributions, including
conditional misclassification rates, 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.
How to cite:
Benjamin Lu (2020). forestError: A Unified Framework for Random Forest Prediction Error Estimation. R package version 1.1.0, https://cran.r-project.org/web/packages/forestError. Accessed 31 Jan. 2025.
Previous versions and publish date:
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Other R packages that forestError depends,
imports, suggests or enhances
Complete documentation for forestError
Functions, R codes and Examples using
the forestError R package
Some associated functions: estimateErrorParams . findOOBErrors . findTestPreds . perror . qerror . quantForestError .
Some associated R codes: checkargs.R . estimateerrorparams.R . findooberrors.R . findtestpreds.R . perror.R . qerror.R . quantforesterror.R . Full forestError package functions and examples
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