Package: cvwrapr 1.0

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.

Authors:Kenneth Tay [aut, cre]

cvwrapr_1.0.tar.gz
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cvwrapr_1.0.tgz(r-4.4-any)cvwrapr_1.0.tgz(r-4.3-any)
cvwrapr_1.0.tar.gz(r-4.5-noble)cvwrapr_1.0.tar.gz(r-4.4-noble)
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cvwrapr.pdf |cvwrapr.html✨
cvwrapr/json (API)

Peer review:

Bug tracker:https://github.com/kjytay/cvwrapr/issues

On CRAN:

5 exports 4 stars 1.02 score 6 dependencies 9 scripts 223 downloads

Last updated 3 years agofrom:9188a9e0b5. Checks:OK: 7. Indexed: yes.

Exports:availableTypeMeasurescomputeErrorcoxnet.deviancegetCindexkfoldcv

Dependencies:codetoolsforeachiteratorslatticeMatrixsurvival