Cross-Validation Tools for Regression Models


[Up] [Top]

Documentation for package ‘cvTools’ version 0.3.3

Help Pages

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