Provides a lightweight framework for model selection and hyperparameter tuning in R. The package offers intuitive tools for grid search, cross-validation, and combined grid search with cross-validation that work seamlessly with virtually any modeling package. Designed for flexibility and ease of use, it standardizes tuning workflows while remaining fully compatible with a wide range of model interfaces and estimation functions.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | future.apply, progressr, R6, rlang |
| Suggests: | e1071, future, parallelly, paws, rsample, rpart, yardstick, knitr, rmarkdown |
| Published: | 2025-10-28 |
| DOI: | 10.32614/CRAN.package.modeltuning (may not be active yet) |
| Author: | Daniel Molitor [aut, cre] |
| Maintainer: | Daniel Molitor <molitdj97 at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://www.dmolitor.com/modeltuning/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | modeltuning results |
| Reference manual: | modeltuning.html , modeltuning.pdf |
| Vignettes: |
Basic usage (source, R code) Data masking (source, R code) Scaling with AWS (source, R code) |
| Package source: | modeltuning_0.1.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: modeltuning_0.1.2.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): modeltuning_0.1.2.tgz, r-oldrel (arm64): modeltuning_0.1.2.tgz, r-release (x86_64): modeltuning_0.1.2.tgz, r-oldrel (x86_64): modeltuning_0.1.2.tgz |
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