R: Cross-validation tools for regression models

# Cross-validation tools for regression models

## Documentation for package ‘cvTools’ version 0.3.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## 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