| 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
The DESCRIPTION file:
| Package: | cvTools |
| Type: | Package |
| Title: | Cross-Validation Tools for Regression Models |
| Version: | 0.3.3 |
| Date: | 2024-03-13 |
| Depends: | R (>= 2.11.0), lattice, robustbase |
| Imports: | stats |
| Description: | Tools that allow developers to write functions for cross-validation with minimal programming effort and assist users with model selection. |
| License: | GPL (>= 2) |
| LazyLoad: | yes |
| Authors@R: | person("Andreas", "Alfons", email = "alfons@ese.eur.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2513-3788")) |
| Author: | Andreas Alfons [aut, cre] (<https://orcid.org/0000-0002-2513-3788>) |
| Maintainer: | Andreas Alfons <alfons@ese.eur.nl> |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.2.3 |
Index of help topics:
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 [aut, cre] (<https://orcid.org/0000-0002-2513-3788>)
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
[Package cvTools version 0.3.3 Index]