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 |