cvwrapr: Tools for Cross Validation

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
Author: Kenneth Tay [aut, cre]
Maintainer: Kenneth Tay <kjytay at>
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:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cvwrapr_1.0.tgz, r-release (x86_64): cvwrapr_1.0.tgz, r-oldrel: cvwrapr_1.0.tgz


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