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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: | 1.6.2 |
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 (≥ 0.5.0), knitr, merDeriv (≥ 0.2-4), nnet (≥ 7.3-12), randomForest (≥ 4.6-14), rmarkdown, rsvg, testthat (≥ 2.3.2), xpectr (≥ 0.4.1) |
Published: | 2024-07-31 |
DOI: | 10.32614/CRAN.package.cvms |
Author: | Ludvig Renbo Olsen
|
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 |
Reference manual: | cvms.pdf |
Vignettes: |
creating_confusion_matrix (source, R code) available_metrics (source, R code) cross_validating_custom_functions (source, R code) evaluate_by_id (source, R code) picking_the_number_of_folds_for_cross-validation (source, R code) |
Package source: | cvms_1.6.2.tar.gz |
Windows binaries: | r-devel: cvms_1.6.2.zip, r-release: cvms_1.6.2.zip, r-oldrel: cvms_1.6.2.zip |
macOS binaries: | r-release (arm64): cvms_1.6.2.tgz, r-oldrel (arm64): cvms_1.6.2.tgz, r-release (x86_64): cvms_1.6.2.tgz, r-oldrel (x86_64): cvms_1.6.2.tgz |
Old sources: | cvms archive |
Reverse imports: | explainer, oHMMed, SPONGE |
Reverse suggests: | metabinR |
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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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