API for Modeler
Classes and Methods for Training and Using Binary Prediction Models

Global functions
FittedModel Man page Source code
FittedModel-class Man page
Modeler Man page Source code
Modeler-class Man page
Modeler-package Man page
corstat Source code
disco Source code
discodata Source code
entropic Source code
filterIQR Man page Source code
filterMax Man page Source code
filterMean Man page Source code
filterMedian Man page Source code
filterMin Man page Source code
filterRange Man page Source code
filterSD Man page Source code
fsChisquared Man page Source code
fsEntropy Man page Source code
fsFisherRandomForest Man page Source code
fsMedSplitOddsRatio Man page Source code
fsModifiedFisher Man page Source code
fsPearson Man page Source code
fsSpearman Man page Source code
fsTailRank Man page Source code
fsTtest Man page Source code
keepAll Man page Source code
learn Man page Source code
learnCCP Man page Source code
learnKNN Man page Source code
learnLR Man page Source code
learnNNET Man page Source code
learnNNET2 Man page Source code
learnPCALR Man page Source code
learnRF Man page Source code
learnRPART Man page Source code
learnSVM Man page Source code
learnSelectedLR Man page Source code
learnTailRank Man page Source code
modeler3NN Man page
modeler5NN Man page
modelerCCP Man page
modelerLR Man page
modelerNNET Man page
modelerNNET2 Man page
modelerPCALR Man page
modelerRF Man page
modelerRPART Man page
modelerSVM Man page
modelerSelectedLR Man page
modelerTailRank Man page
predict,FittedModel-method Man page
predictCCP Man page Source code
predictKNN Man page Source code
predictLR Man page Source code
predictNNET Man page Source code
predictNNET2 Man page Source code
predictPCALR Man page Source code
predictRF Man page Source code
predictRPART Man page Source code
predictSVM Man page Source code
predictSelectedLR Man page Source code
predictTailRank Man page Source code
Modeler documentation built on July 13, 2017, 3 p.m.