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.


Reference manual

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1.0 by Kenneth Tay, 8 months ago

Browse source code at

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