Building Regression and Classification Models

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Documentation for package ‘ModTools’ version 0.9.13

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

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