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.


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install.packages("cvwrapr")

1.0 by Kenneth Tay, 12 days ago


Browse source code at https://github.com/cran/cvwrapr


Authors: Kenneth Tay [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports survival, foreach

Suggests doParallel, gbm, glmnet, knitr, Matrix, parallel, pls, rmarkdown, testthat


See at CRAN