modeltuning: Model Selection and Tuning Utilities (original) (raw)

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: 0.1.3
Depends: R (≥ 4.1.0)
Imports: future.apply, progressr, R6, rlang
Suggests: Matrix, e1071, future, parallelly, paws, rsample, rpart, yardstick, knitr, rmarkdown
Published: 2025-12-07
DOI: 10.32614/CRAN.package.modeltuning
Author: Daniel Molitor [aut, cre]
Maintainer: Daniel Molitor
BugReports: https://github.com/dmolitor/modeltuning/issues
License: MIT + file
URL: https://www.dmolitor.com/modeltuning/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: modeltuning results

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