Additional Functions for Model Tuning R package finetune version 1.3.0 The ability to tune models is important. 'finetune' enhances the 'tune' package by providing more specialized methods for finding reasonable values of model tuning parameters. Two racing methods described by Kuhn (2014) <doi:10.48550/arXiv.1405.6974> are included. An iterative search method using generalized simulated annealing (Bohachevsky, Johnson and Stein, 1986) <doi:10.1080/00401706.1986.10488128> is also included. Software Depends: R (>= 4.1), tune (>= 2.1.0) Imports: cli, dials (>= 0.3.0), dplyr (>= 1.1.1), ggplot2, parsnip (>= 1.1.0), purrr (>= 1.0.0), rlang (>= 1.1.0), tibble, tidyr, tidyselect, utils, vctrs, workflows (>= 0.2.6) Suggests: BradleyTerry2, covr, discrim, kknn, klaR, lme4, modeldata, ranger, recipes (>= 0.2.0), rpart, rsample, spelling, testthat, yardstick Max Kuhn <max@posit.co> Comprehensive R Archive Network (CRAN) Max Kuhn [aut, cre] (ORCID: <https://orcid.org/0000-0003-2402-136X>), Posit Software, PBC [cph, fnd] (ROR: <https://ror.org/03wc8by49>) MIT + file LICENSE (https://CRAN.R-project.org/package=finetune/LICENSE) 2026-04-18 application/tgz https://CRAN.R-project.org/package=finetune doi:10.32614/CRAN.package.finetune en-US