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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:0.1.3
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 <molitdj97 at gmail.com>
BugReports:https://github.com/dmolitor/modeltuning/issues
License:MIT + fileLICENSE
URL:https://www.dmolitor.com/modeltuning/
NeedsCompilation:no
Materials:README,NEWS
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_0.1.3.tar.gz
Windows binaries: r-devel:modeltuning_0.1.3.zip, r-release:modeltuning_0.1.3.zip, r-oldrel:modeltuning_0.1.3.zip
macOS binaries: r-release (arm64):modeltuning_0.1.3.tgz, r-oldrel (arm64):modeltuning_0.1.3.tgz, r-release (x86_64):modeltuning_0.1.3.tgz, r-oldrel (x86_64):modeltuning_0.1.3.tgz
Old sources: modeltuning archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=modeltuningto link to this page.


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