cvTools-package |
Cross-Validation Tools for Regression Models |
accessors |
Access or set information on cross-validation results |
aggregate.cv |
Aggregate cross-validation results |
aggregate.cvSelect |
Aggregate cross-validation results |
aggregate.cvTuning |
Aggregate cross-validation results |
bwplot.cv |
Box-and-whisker plots of cross-validation results |
bwplot.cvSelect |
Box-and-whisker plots of cross-validation results |
cost |
Prediction loss |
cvExamples |
Cross-validation for linear models |
cvFit |
Cross-validation for model evaluation |
cvFit.call |
Cross-validation for model evaluation |
cvFit.default |
Cross-validation for model evaluation |
cvFit.function |
Cross-validation for model evaluation |
cvFolds |
Cross-validation folds |
cvLm |
Cross-validation for linear models |
cvLmrob |
Cross-validation for linear models |
cvLts |
Cross-validation for linear models |
cvNames |
Access or set information on cross-validation results |
cvNames<- |
Access or set information on cross-validation results |
cvReshape |
Reshape cross-validation results |
cvReshape.cv |
Reshape cross-validation results |
cvReshape.cvSelect |
Reshape cross-validation results |
cvSelect |
Model selection based on cross-validation |
cvTool |
Low-level function for cross-validation |
cvTools |
Cross-Validation Tools for Regression Models |
cvTuning |
Cross-validation for tuning parameter selection |
cvTuning.call |
Cross-validation for tuning parameter selection |
cvTuning.function |
Cross-validation for tuning parameter selection |
densityplot.cv |
Kernel density plots of cross-validation results |
densityplot.cvSelect |
Kernel density plots of cross-validation results |
dotplot.cv |
Dot plots of cross-validation results |
dotplot.cvSelect |
Dot plots of cross-validation results |
fits |
Access or set information on cross-validation results |
fits<- |
Access or set information on cross-validation results |
mape |
Prediction loss |
mspe |
Prediction loss |
ncv |
Access or set information on cross-validation results |
nfits |
Access or set information on cross-validation results |
plot.cv |
Plot cross-validation results |
plot.cvSelect |
Plot cross-validation results |
print.cv |
Cross-validation for model evaluation |
print.cvFolds |
Cross-validation folds |
print.cvSelect |
Model selection based on cross-validation |
print.cvTuning |
Cross-validation for tuning parameter selection |
repCV |
Cross-validation for linear models |
repCV.lm |
Cross-validation for linear models |
repCV.lmrob |
Cross-validation for linear models |
repCV.lts |
Cross-validation for linear models |
rmspe |
Prediction loss |
rtmspe |
Prediction loss |
subset.cv |
Subsetting cross-validation results |
subset.cvSelect |
Subsetting cross-validation results |
summary.cv |
Summarize cross-validation results |
summary.cvSelect |
Summarize cross-validation results |
summary.cvTuning |
Summarize cross-validation results |
tmspe |
Prediction loss |
xyplot.cv |
X-Y plots of cross-validation results |
xyplot.cvSelect |
X-Y plots of cross-validation results |
xyplot.cvTuning |
X-Y plots of cross-validation results |