cvTools-package: Cross-validation tools for regression models
In cvTools: Cross-validation tools for regression models

Description Details Author(s)

Tools that allow developers to write functions for cross-validation with minimal programming effort and assist users with model selection.

Package:	cvTools
Type:	Package
Version:	0.3.2
Date:	2012-05-11
Depends:	R (>= 2.11.0), lattice, robustbase
Imports:	lattice, robustbase, stats
License:	GPL (>= 2)
LazyLoad:	yes

Index:

accessors               Access or set information on cross-validation
                        results
aggregate.cv            Aggregate cross-validation results
bwplot.cv               Box-and-whisker plots of cross-validation
                        results
cost                    Prediction loss
cvFit                   Cross-validation for model evaluation
cvFolds                 Cross-validation folds
cvReshape               Reshape cross-validation results
cvSelect                Model selection based on cross-validation
cvTool                  Low-level function for cross-validation
cvTools-package         Cross-validation tools for regression models
cvTuning                Cross-validation for tuning parameter selection
densityplot.cv          Kernel density plots of cross-validation
                        results
dotplot.cv              Dot plots of cross-validation results
plot.cv                 Plot cross-validation results
repCV                   Cross-validation for linear models
subset.cv               Subsetting cross-validation results
summary.cv              Summarize cross-validation results
xyplot.cv               X-Y plots of cross-validation results