Learn R Programming

⚠️There's a newer version (2.1-5) of this package.Take me there.

rfUtilities (version 2.0-0)

Random Forests Model Selection and Performance Evaluation

Description

Utilities for Random Forest model selection, class balance correction, significance test, cross validation and partial dependency plots.

Copy Link

Version

Install

install.packages('rfUtilities')

Monthly Downloads

109

Version

2.0-0

License

GPL-3

Maintainer

Jeffrey S Evans

Last Published

April 27th, 2016

Functions in rfUtilities (2.0-0)

plot.occurrence.threshold

Plot occurrence thresholds
plot.significance

Plot random forests significance
rf.crossValidation

Random Forest Classification Model Cross-validation
multi.collinear

Multi-collinearity test
print.occurrence.threshold

Print occurrence.threshold
plot.rf.modelSel

Plot random forests model selection
occurrence.threshold

Test occurrence probability thresholds
plot.rf.cv

Plot random forests cross-validation
print.rf.modelSel

Print random forests model selection
rfu.news

rfUtilities news
summary.occurrence.threshold

Summarizing occurrence.threshold
summary.significance

Summarizing significance
summary.rf.cv

Summarizing cross-validation
rf.imp.freq

Random Forest variable selection frequency
rf.regression.fit

Random Forest fit statistics
print.rf.cv

Print random forests cross-validation
summary.rf.modelSel

Summarizing random forests model selection
rf.class.sensitivity

Random Forests class-level sensitivity analysis
rf.significance

Random Forest model significance test
print.accuracy

Print accuracy
rf.modelSel

Random Forest Model Selection
rf.classBalance

Random Forest Class Balance (Zero Inflation Correction) Model
rf.partial.ci

Random Forests regression partial dependency plot with confidence intervals
print.significance

Print significance
accuracy

Accuracy
summary.accuracy

Summarizing accuracy
rf.partial.prob

Random Forest probability scaled partial dependency plots