R: Classes and Methods for Training and Using Binary Prediction Models

# Classes and Methods for Training and Using Binary Prediction Models

## Documentation for package ‘Modeler’ version 3.4.9

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

filterIQR | Feature Filtering
filterMax | Feature Filtering
filterMean | Feature Filtering
filterMedian | Feature Filtering
filterMin | Feature Filtering
filterRange | Feature Filtering
filterSD | Feature Filtering
FittedModel | Creating FittedModel objects
FittedModel-class | Class "FittedModel"
fsChisquared | Feature Selection
fsEntropy | Feature Selection
fsFisherRandomForest | Feature Selection
fsMedSplitOddsRatio | Feature Selection
fsModifiedFisher | Feature Selection
fsPearson | Feature Selection
fsSpearman | Feature Selection
fsTailRank | Feature Selection
fsTtest | Feature Selection
keepAll | Feature Selection
learn | Learning models from data
learnCCP | Fit models and make predictions with a PCA-LR classifier
learnKNN | Fit models and make predictions with a KNN classifier
learnLR | Fit models and make predictions with a logistic regression classifier
learnNNET | Fit models and make predictions with a PCA-LR classifier
learnNNET2 | Fit models and make predictions with a multi-level neural network classifier
learnPCALR | Fit models and make predictions with a PCA-LR classifier
learnRF | Fit models and make predictions with a PCA-LR classifier
learnRPART | Fit models and make predictions with a PCA-LR classifier
learnSelectedLR | Fit models and make predictions with a PCA-LR classifier
learnSVM | Fit models and make predictions with a PCA-LR classifier
learnTailRank | Fit models and make predictions with a PCA-LR classifier
Modeler | Constructor for "Modeler" objects
Modeler-class | Class "Modeler"
modeler3NN | Fit models and make predictions with a KNN classifier
modeler5NN | Fit models and make predictions with a KNN classifier
modelerCCP | Fit models and make predictions with a PCA-LR classifier
modelerLR | Fit models and make predictions with a logistic regression classifier
modelerNNET | Fit models and make predictions with a PCA-LR classifier
modelerNNET2 | Fit models and make predictions with a multi-level neural network classifier
modelerPCALR | Fit models and make predictions with a PCA-LR classifier
modelerRF | Fit models and make predictions with a PCA-LR classifier
modelerRPART | Fit models and make predictions with a PCA-LR classifier
modelerSelectedLR | Fit models and make predictions with a PCA-LR classifier
modelerSVM | Fit models and make predictions with a PCA-LR classifier
modelerTailRank | Fit models and make predictions with a PCA-LR classifier
predict-method | Class "FittedModel"
predictCCP | Fit models and make predictions with a PCA-LR classifier
predictKNN | Fit models and make predictions with a KNN classifier
predictLR | Fit models and make predictions with a logistic regression classifier
predictNNET | Fit models and make predictions with a PCA-LR classifier
predictNNET2 | Fit models and make predictions with a multi-level neural network classifier
predictPCALR | Fit models and make predictions with a PCA-LR classifier
predictRF | Fit models and make predictions with a PCA-LR classifier
predictRPART | Fit models and make predictions with a PCA-LR classifier
predictSelectedLR | Fit models and make predictions with a PCA-LR classifier
predictSVM | Fit models and make predictions with a PCA-LR classifier
predictTailRank | Fit models and make predictions with a PCA-LR classifier