ModTools-package | Regression and Classification Tools |
BestCut | Best Cutpoint for a ROC Curve |
bioChemists | article production by graduate students in biochemistry Ph.D. programs |
BreuschPaganTest | Breusch-Pagan Test |
coef.zeroinfl | Methods for zeroinfl Objects |
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 |
extractAIC.zeroinfl | Methods for zeroinfl Objects |
FitMod | Wrapper for Several Model Functions |
fitted.zeroinfl | Methods for zeroinfl Objects |
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 |
logLik.zeroinfl | Methods for zeroinfl Objects |
model.matrix.zeroinfl | Methods for zeroinfl Objects |
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 |
predict.zeroinfl | Methods for zeroinfl Objects |
PredictCI | Confidence Intervals for Predictions of a GLM |
predprob.zeroinfl | Methods for zeroinfl Objects |
print.CP | Complexity Parameter of an rpart Model |
print.FitMod | Wrapper for Several Model Functions |
print.summary.zeroinfl | Methods for zeroinfl Objects |
print.VarImp | Variable Importance for Regression and Classification Models |
print.zeroinfl | Zero-inflated Count Data Regression |
Purity | Leafrates for the Nodes of an 'rpart' Tree |
RefLevel | Used Reference Levels in a Linear Model |
residuals.zeroinfl | Methods for zeroinfl Objects |
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 |
summary.zeroinfl | Methods for zeroinfl Objects |
terms.zeroinfl | Methods for zeroinfl Objects |
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 |
vcov.zeroinfl | Methods for zeroinfl Objects |
zeroinfl | Zero-inflated Count Data Regression |
zeroinfl.control | Control Parameters for Zero-inflated Count Data Regression |