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cvms: Cross-Validation for Model Selection

Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).

Version: 1.6.1
Depends: R (≥ 3.5)
Imports: checkmate (≥ 2.0.0), data.table (≥ 1.12), dplyr (≥ 0.8.5), ggplot2, groupdata2 (≥ 2.0.2), lifecycle, lme4 (≥ 1.1-23), MuMIn (≥ 1.43.17), parameters (≥ 0.15.0), plyr, pROC (≥ 1.16.0), purrr, rearrr (≥ 0.3.0), recipes (≥ 0.1.13), rlang (≥ 0.4.7), stats, stringr, tibble (≥ 3.0.3), tidyr (≥ 1.1.2), utils
Suggests: AUC, covr (≥ 3.3.1), e1071 (≥ 1.7-2), furrr, ggimage (≥ 0.3.3), ggnewscale (≥ 0.4.3), knitr, merDeriv (≥ 0.2-4), nnet (≥ 7.3-12), randomForest (≥ 4.6-14), rmarkdown, rsvg, testthat (≥ 2.3.2), xpectr (≥ 0.4.1)
Published: 2024-02-27
Author: Ludvig Renbo Olsen ORCID iD [aut, cre] (@ludvigolsen), Hugh Benjamin Zachariae [aut], Indrajeet Patil ORCID iD [ctb] (@patilindrajeets), Daniel Lüdecke ORCID iD [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs at ludvigolsen.dk>
BugReports: https://github.com/ludvigolsen/cvms/issues
License: MIT + file LICENSE
URL: https://github.com/ludvigolsen/cvms
NeedsCompilation: no
Materials: README NEWS
CRAN checks: cvms results

Documentation:

Reference manual: cvms.pdf
Vignettes: creating_confusion_matrix
available_metrics
cross_validating_custom_functions
evaluate_by_id
picking_the_number_of_folds_for_cross-validation

Downloads:

Package source: cvms_1.6.1.tar.gz
Windows binaries: r-devel: cvms_1.6.1.zip, r-release: cvms_1.6.1.zip, r-oldrel: cvms_1.6.1.zip
macOS binaries: r-release (arm64): cvms_1.6.1.tgz, r-oldrel (arm64): cvms_1.6.1.tgz, r-release (x86_64): cvms_1.6.1.tgz, r-oldrel (x86_64): cvms_1.6.1.tgz
Old sources: cvms archive

Reverse dependencies:

Reverse imports: explainer, oHMMed
Reverse suggests: metabinR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cvms to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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