dials: Tools for Creating Tuning Parameter Values

Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.

Version:	1.3.0
Depends:	R (≥ 3.4), scales (≥ 1.3.0)
Imports:	cli, DiceDesign, dplyr (≥ 0.8.5), glue, hardhat (≥ 1.1.0), lifecycle, pillar, purrr, rlang (≥ 1.1.0), sfd, tibble, utils, vctrs (≥ 0.3.8), withr
Suggests:	covr, ggplot2, kernlab, knitr, rmarkdown, rpart, testthat (≥ 3.1.9), xml2
Published:	2024-07-30
DOI:	10.32614/CRAN.package.dials
Author:	Max Kuhn [aut], Hannah Frick [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer:	Hannah Frick <hannah at posit.co>
BugReports:	https://github.com/tidymodels/dials/issues
License:	MIT + file LICENSE
URL:	https://dials.tidymodels.org, https://github.com/tidymodels/dials
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	dials results

Documentation:

Reference manual:	dials.pdf
Vignettes:	Working with Tuning Parameters (source, R code)

Downloads:

Package source:	dials_1.3.0.tar.gz
Windows binaries:	r-devel: dials_1.3.0.zip, r-release: dials_1.3.0.zip, r-oldrel: dials_1.3.0.zip
macOS binaries:	r-release (arm64): dials_1.3.0.tgz, r-oldrel (arm64): dials_1.3.0.tgz, r-release (x86_64): dials_1.3.0.tgz, r-oldrel (x86_64): dials_1.3.0.tgz
Old sources:	dials archive

Reverse dependencies:

Reverse imports:	agua, autostats, baguette, bonsai, censored, discrim, fastml, finetune, finnts, flipr, healthyR.ai, ldmppr, MachineShop, modeltime, modeltime.resample, rules, tabnet, tidyclust, tidydann, tidyfit, tidymodels, tidysdm, tune, viralmodels
Reverse suggests:	embed, healthyR.ts, modeltime.ensemble, parsnip, recipes, textrecipes, themis, workflows, workflowsets

Linking:

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