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| ModTools-package | Regression and Classification Tools |
| BestCut | Best Cutpoint for a ROC Curve |
| BreuschPaganTest | Breusch-Pagan Test |
| CP | Complexity Parameter of an rpart Model |
| d.glass | Measurements of Forensic Glass Fragments |
| d.pima | Diabetes survey on Pima Indians |
| d.pima2 | Diabetes survey on Pima Indians |
| drop1.FitMod | Wrapper for Several Model Functions |
| FitMod | Wrapper for Several Model Functions |
| GarsonWeights | Variable Importance for Regression and Classification Models |
| LeafRates | Leafrates for the Nodes of an 'rpart' Tree |
| LogitBoost | LogitBoost Classification Algorithm |
| LogitBoost.default | LogitBoost Classification Algorithm |
| LogitBoost.formula | LogitBoost Classification Algorithm |
| ModTools | Regression and Classification Tools |
| Node | Nodes and Splits in an rpart Tree |
| OverSample | Oversample and Undersample |
| plot.CP | Complexity Parameter of an rpart Model |
| plot.FitMod | Wrapper for Several Model Functions |
| plot.LeafRates | Leafrates for the Nodes of an 'rpart' Tree |
| plot.TModC | Compare Classification Models |
| plot.VarImp | Variable Importance for Regression and Classification Models |
| PlotLift | Lift Charts to Compare Binary Predictive Models |
| predict.FitMod | Wrapper for Several Model Functions |
| print.CP | Complexity Parameter of an rpart Model |
| print.FitMod | Wrapper for Several Model Functions |
| print.VarImp | Variable Importance for Regression and Classification Models |
| Purity | Leafrates for the Nodes of an 'rpart' Tree |
| RefLevel | Used Reference Levels in a Linear Model |
| Response | Extract the Response from Several Models |
| RobSummary | Robust Summary for Linear Models |
| ROC | Build a ROC curve |
| Rules | Extract Rules from 'rpart' Object |
| Splits | Nodes and Splits in an rpart Tree |
| SplitTrainTest | Split DataFrame in Train an Test Sample |
| summary.FitMod | Wrapper for Several Model Functions |
| TModC | Compare Classification Models |
| Tobit | Tobit Regression |
| Tune | Tune Classificators |
| UnderSample | Oversample and Undersample |
| VarImp | Variable Importance for Regression and Classification Models |
| VarImp.default | Variable Importance for Regression and Classification Models |
| VarImp.FitMod | Variable Importance for Regression and Classification Models |