Cross-Validation for Model Selection R package cvms version 2.0.1 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). Software Depends: R (>= 3.5) Imports: checkmate (>= 2.0.0), data.table (>= 1.12), dplyr (>= 0.8.5), ggplot2, groupdata2 (>= 2.0.5), lifecycle, lme4 (>= 1.1-23), methods, MuMIn (>= 1.43.17), parameters (>= 0.15.0), plyr, pROC (>= 1.16.0), purrr, rearrr (>= 0.3.4), recipes (>= 0.1.13), reformulas (>= 0.4.3.1), 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 (>= 0.5.0), knitr, merDeriv (>= 0.2-4), nnet (>= 7.3-20), randomForest (>= 4.6-14), rmarkdown, rsvg, testthat (>= 2.3.2), xpectr (>= 0.4.3) Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk> Comprehensive R Archive Network (CRAN) Ludvig Renbo Olsen [aut, cre] (ORCID: <https://orcid.org/0009-0006-6798-7454>), Hugh Benjamin Zachariae [aut], Indrajeet Patil [ctb] (ORCID: <https://orcid.org/0000-0003-1995-6531>), Daniel Lüdecke [ctb] (ORCID: <https://orcid.org/0000-0002-8895-3206>) MIT + file LICENSE (https://CRAN.R-project.org/package=cvms/LICENSE) 2026-06-05 application/tgz https://CRAN.R-project.org/package=cvms doi:10.32614/CRAN.package.cvms