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rfUtilities (version 2.1-4)
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.
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Install
install.packages('rfUtilities')
Monthly Downloads
107
Version
2.1-4
License
GPL-3
Maintainer
Jeffrey S Evans
Last Published
December 17th, 2018
Functions in rfUtilities (2.1-4)
Search functions
accuracy
Accuracy
print.rf.ensembles
Print for combined random forests ensembles
rf.modelSel
Random Forest Model Selection
print.rf.modelSel
Print random forests model selection
occurrence.threshold
Test occurrence probability thresholds
rf.partial.ci
Random Forests regression partial dependency plot with confidence intervals
plot.rf.modelSel
Plot random forests model selection
print.rf.cv
Print random forests cross-validation
summary.rf.modelSel
Summarizing random forests model selection
probability.calibration
Isotonic probability calibration
plot.rf.cv
Plot random forests cross-validation
plot.occurrence.threshold
Plot occurrence thresholds
print.occurrence.threshold
Print occurrence.threshold
rf.classBalance
Random Forest Class Balance (Zero Inflation Correction) Model
logLoss
Logarithmic loss (logLoss)
print.significance
Print significance
multi.collinear
Multi-collinearity test
rf.significance
Random Forest model significance test
rf.class.sensitivity
Random Forests class-level sensitivity analysis
print.accuracy
Print accuracy
plot.significance
Plot random forests significance
rf.unsupervised
Unsupervised Random Forests
rf.partial.prob
Random Forest probability scaled partial dependency plots
rf.regression.fit
Random Forest fit statistics
rf.effectSize
Random Forest effect size
summary.rf.cv
Summarizing cross-validation
rf.imp.freq
Random Forest variable selection frequency
summary.rf.ensembles
Summary for combined random forests ensembles
summary.occurrence.threshold
Summarizing occurrence.threshold
rf.crossValidation
Random Forest Classification or Regression Model Cross-validation
rf.combine
Combine Random Forests Ensembles
summary.accuracy
Summarizing accuracy
summary.significance
Summarizing significance
bivariate.partialDependence
Bivariate partial-dependency plot