CORElearn - classification, regression, feature evaluation and ordinal evaluation

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Documentation for package ‘CORElearn’ version 0.9.22

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CORElearn-package R port of CORElearn
attrEval Attribute evaluation
calibrate Calibration of probabilities according to the given prior.
classDataGen Artificial data for testing classification algorithms
CORElearn R port of CORElearn
CORElearn-internal Internal structures of CORElearn C++ part
CoreModel Build a classification or regression model
destroyModels Destroy single or all CORElearn models
getCoreModel Conversion of model to a list
infoCore Description of certain CORElearn parameters
loadRF Saves/loads random forests model to/from file
modelEval Statistical evaluation of predictions
optionCore Description of parameters.
ordDataGen Artificial data for testing ordEval algorithms
ordEval Evaluation of ordered attributes
paramCoreIO Input/output of parameters from/to file
plot.ordEval Visualization of ordEval results
plotOrdEval Visualization of ordEval results
predict.CoreModel Prediction using constructed model
preparePlot Prepare graphics device
preparePlot.Core Prepare graphics device
printOrdEval Visualization of ordEval results
regDataGen Artificial data for testing regression algorithms
saveRF Saves/loads random forests model to/from file
testCore Verification of the CORElearn installation
testNA Verification of the CORElearn installation
versionCore Package version