modeltuning: Model Selection and Tuning Utilities

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

Documentation:

Reference manual:	modeltuning.html , modeltuning.pdf
Vignettes:	Basic usage (source, R code) Data masking (source, R code) Scaling with AWS (source, R code)

Downloads:

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

Linking:

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