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Tools for performing cross-validation (CV). The main function is a general purpose wrapper that performs k-fold CV for any tuning parameter in any supervised learning method. The package also has a function that computes the loss incurred by a set of predictions for a variety of loss functions and model families.
| Version: | 1.0 |
| Imports: | survival, foreach |
| Suggests: | doParallel, gbm, glmnet, knitr, Matrix, parallel, pls, rmarkdown, testthat |
| Published: | 2021-06-11 |
| DOI: | 10.32614/CRAN.package.cvwrapr |
| Author: | Kenneth Tay [aut, cre] |
| Maintainer: | Kenneth Tay <kjytay at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | cvwrapr results |
| Reference manual: | cvwrapr.pdf |
| Vignettes: |
Using 'computeError' Introduction to 'kfoldcv' |
| Package source: | cvwrapr_1.0.tar.gz |
| Windows binaries: | r-devel: cvwrapr_1.0.zip, r-release: cvwrapr_1.0.zip, r-oldrel: cvwrapr_1.0.zip |
| macOS binaries: | r-release (arm64): cvwrapr_1.0.tgz, r-oldrel (arm64): cvwrapr_1.0.tgz, r-release (x86_64): cvwrapr_1.0.tgz, r-oldrel (x86_64): cvwrapr_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.