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: | 2.0.0 |
| 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),MuMIn (≥ 1.43.17),parameters (≥ 0.15.0),plyr,pROC (≥1.16.0),purrr,rearrr (≥ 0.3.4),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 (≥ 0.5.0),knitr,merDeriv (≥ 0.2-4),nnet (≥ 7.3-20),randomForest (≥ 4.6-14),rmarkdown,rsvg,testthat (≥ 2.3.2),xpectr (≥ 0.4.3) |
| Published: | 2025-11-10 |
| DOI: | 10.32614/CRAN.package.cvms |
| Author: | Ludvig Renbo Olsen [aut, cre], Hugh Benjamin Zachariae [aut], Indrajeet Patil [ctb], Daniel Lüdecke [ctb] |
| Maintainer: | Ludvig Renbo Olsen <r-pkgs at ludvigolsen.dk> |
| BugReports: | https://github.com/ludvigolsen/cvms/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/ludvigolsen/cvms |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | cvms results |