CORElearn-internal      Internal structures of CORElearn C++ part
CORElearn-package       R port of CORElearn
CoreModel               Build a classification or regression model
attrEval                Attribute evaluation
calibrate               Calibration of probabilities according to the
                        given prior.
classDataGen            Artificial data for testing classification
                        algorithms
destroyModels           Destroy single or all CORElearn models
getCoreModel            Conversion of model to a list
helpCore                Description of parameters.
infoCore                Description of certain CORElearn parameters
modelEval               Statistical evaluation of predictions
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
predict.CoreModel       Prediction using constructed model
preparePlot             Prepare graphics device
regDataGen              Artificial data for testing regression
                        algorithms
rfAttrEval              Attribute evaluation with random forest
saveRF                  Saves/loads random forests model to/from file
testCoreClass           Verification of the CORElearn installation
versionCore             Package version
