Cross-Validation Tools for Regression Models

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Documentation for package ‘cvTools’ version 0.3.3

• 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