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rfUtilities  

Random Forests Model Selection and Performance Evaluation
View on CRAN: Click here


Download and install rfUtilities package within the R console
Install from CRAN:
install.packages("rfUtilities")

Install from Github:
library("remotes")
install_github("cran/rfUtilities")

Install by package version:
library("remotes")
install_version("rfUtilities", "2.1-5")



Attach the package and use:
library("rfUtilities")
Maintained by
Jeffrey S. Evans
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-11-21
Latest Update:
Description:
Utilities for Random Forest model selection, class balance correction, significance test, cross validation and partial dependency plots.
How to cite:
Jeffrey S. Evans (2014). rfUtilities: Random Forests Model Selection and Performance Evaluation. R package version 2.1-5, https://cran.r-project.org/web/packages/rfUtilities. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0-1 (2015-02-24 22:05), 1.0-2 (2015-09-29 17:33), 1.0 (2014-11-21 07:56), 2.0-0 (2016-04-27 13:31), 2.0-1 (2017-03-23 18:14), 2.1-0 (2017-06-13 03:29), 2.1-1 (2017-09-15 00:33), 2.1-2 (2017-10-27 18:24), 2.1-3 (2018-02-21 23:26), 2.1-4 (2018-12-18 00:50), 2.1-5 (2019-10-03 06:50)
Other packages that cited rfUtilities R package
View rfUtilities citation profile
Other R packages that rfUtilities depends, imports, suggests or enhances
Functions, R codes and Examples using the rfUtilities R package
Some associated functions: accuracy . bivariate.partialDependence . logLoss . multi.collinear . occurrence.threshold . plot.occurrence.threshold . plot.rf.cv . plot.rf.modelSel . plot.significance . print.accuracy . print.occurrence.threshold . print.rf.cv . print.rf.ensembles . print.rf.modelSel . print.significance . probability.calibration . rf.class.sensitivity . rf.classBalance . rf.combine . rf.crossValidation . rf.effectSize . rf.imp.freq . rf.modelSel . rf.partial.ci . rf.partial.prob . rf.regression.fit . rf.significance . rf.unsupervised . rfu.news . summary.accuracy . summary.occurrence.threshold . summary.rf.cv . summary.rf.ensembles . summary.rf.modelSel . summary.significance . 
Some associated R codes: accuracy.R . bivariate.partialDependence.R . logLoss.R . multi.collinear.R . occurrence.threshold.R . plot.occurrence.threshold.R . plot.rf.cv.R . plot.rf.modelSel.R . plot.significance.R . print.accuracy.R . print.occurrence.threshold.R . print.rf.cv.R . print.rf.ensembles.R . print.rf.fit.R . print.rf.modelSel.R . print.significance.R . probabily.calibration.R . rf.class.sensitivity.R . rf.classBalance.R . rf.combine.R . rf.crossValidation.R . rf.effectSize.R . rf.imp.freq.R . rf.modelSel.R . rf.partial.ci.R . rf.partial.prob.R . rf.regression.fit.R . rf.significance.R . rf.unsupervised.R . rfu.news.R . summary.accuracy.R . summary.occurrence.threshold.R . summary.rf.cv.R . summary.rf.ensembles.R . summary.rf.modelSel.R . summary.significance.R .  Full rfUtilities package functions and examples
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