R: Building Regression and Classification Models

# Building Regression and Classification Models

## Documentation for package ‘ModTools’ version 0.9.13

- DESCRIPTION file
- Code demos. Use demo() to run them.
- Package NEWS
- Package README

## Help Pages

ModTools-package | Regression and Classification Tools
BestCut | Best Cutpoint for a ROC Curve
BreuschPaganTest | Breusch-Pagan Test
CoeffDiffCI | Confidence Interval for the Difference of Two Coefficients in a Linear Model
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
PredictCI | Confidence Intervals for Predictions of a GLM
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