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]

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cvwrapr.pdf |cvwrapr.html✨
cvwrapr/json (API)

# Install 'cvwrapr' in R:
install.packages('cvwrapr', repos = c('https://kjytay.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

4.60 score 4 stars 9 scripts 172 downloads 5 exports 6 dependencies

Last updated 4 years agofrom:9188a9e0b5. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 03 2025
R-4.5-winOKFeb 03 2025
R-4.5-macOKFeb 03 2025
R-4.5-linuxOKFeb 03 2025
R-4.4-winOKFeb 03 2025
R-4.4-macOKFeb 03 2025
R-4.3-winOKFeb 03 2025
R-4.3-macOKFeb 03 2025

Exports:availableTypeMeasurescomputeErrorcoxnet.deviancegetCindexkfoldcv

Dependencies:codetoolsforeachiteratorslatticeMatrixsurvival

Introduction to kfoldcv

Rendered fromkfoldcv.Rmdusingknitr::rmarkdownon Feb 03 2025.

Last update: 2021-06-09
Started: 2021-05-12

Using computeError

Rendered fromcomputeError.Rmdusingknitr::rmarkdownon Feb 03 2025.

Last update: 2021-05-19
Started: 2021-05-19