R: Cross-validation tools for regression models

cvTools-package {cvTools} | R Documentation

## Cross-validation tools for regression models

### Description

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

### Details

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

### Author(s)

Andreas Alfons

Maintainer: Andreas Alfons <andreas.alfons@econ.kuleuven.be>

[Package cvTools version 0.3.2 Index]