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rfUtilities (version 2.1-5)
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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2.1-5
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Install
install.packages('rfUtilities')
Monthly Downloads
736
Version
2.1-5
License
GPL-3
Issues
5
Pull Requests
1
Stars
20
Forks
8
Repository
https://github.com/jeffreyevans/rfUtilities
Maintainer
Jeffrey S Evans
Last Published
October 3rd, 2019
Functions in rfUtilities (2.1-5)
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rf.class.sensitivity
Random Forests class-level sensitivity analysis
print.occurrence.threshold
Print occurrence.threshold
print.rf.cv
Print random forests cross-validation
multi.collinear
Multi-collinearity test
summary.accuracy
Summarizing accuracy
print.rf.modelSel
Print random forests model selection
rf.combine
Combine Random Forests Ensembles
rf.crossValidation
Random Forest Classification or Regression Model Cross-validation
print.rf.ensembles
Print for combined random forests ensembles
rfu.news
rfUtilities news
rf.classBalance
Random Forest Class Balance (Zero Inflation Correction) Model
print.significance
Print significance
probability.calibration
Isotonic probability calibration
rf.effectSize
Random Forest effect size
rf.modelSel
Random Forest Model Selection
rf.imp.freq
Random Forest variable selection frequency
rf.unsupervised
Unsupervised Random Forests
rf.significance
Random Forest model significance test
summary.significance
Summarizing significance
summary.rf.cv
Summarizing cross-validation
rf.partial.prob
Random Forest probability scaled partial dependency plots
rf.regression.fit
Random Forest fit statistics
summary.occurrence.threshold
Summarizing occurrence.threshold
rf.partial.ci
Random Forests regression partial dependency plot with confidence intervals
summary.rf.modelSel
Summarizing random forests model selection
summary.rf.ensembles
Summary for combined random forests ensembles
logLoss
Logarithmic loss (logLoss)
occurrence.threshold
Test occurrence probability thresholds
plot.occurrence.threshold
Plot occurrence thresholds
accuracy
Accuracy
plot.significance
Plot random forests significance
plot.rf.cv
Plot random forests cross-validation
plot.rf.modelSel
Plot random forests model selection
bivariate.partialDependence
Bivariate partial-dependency plot
print.accuracy
Print accuracy