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: | 1.3.5 |
| Depends: | R (≥ 3.5) |
| Imports: | checkmate (≥ 2.0.0), data.table (≥ 1.12), dplyr (≥ 0.8.5), ggplot2, 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 (≥ 0.2.8), ggnewscale (≥ 0.4.3), groupdata2 (≥ 1.4.1), knitr, merDeriv (≥ 0.2-4), nnet (≥ 7.3-12), randomForest (≥ 4.6-14), rmarkdown, rsvg, testthat (≥ 2.3.2), xpectr (≥ 0.4.1) |
| Published: | 2022-08-26 |
| Author: | Ludvig Renbo Olsen [aut, cre],
Hugh Benjamin Zachariae [aut],
Indrajeet Patil 
[ctb] (@patilindrajeets),
Daniel Lüdecke
[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_1.3.5.tar.gz |
| Windows binaries: | r-devel: cvms_1.3.5.zip, r-release: cvms_1.3.5.zip, r-oldrel: cvms_1.3.5.zip |
| macOS binaries: | r-release (arm64): cvms_1.3.5.tgz, r-oldrel (arm64): cvms_1.3.5.tgz, r-release (x86_64): cvms_1.3.5.tgz, r-oldrel (x86_64): cvms_1.3.5.tgz |
| Old sources: | cvms archive |
Reverse dependencies:
| Reverse imports: | SPONGE |
Linking:
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