Parallel Bayesian Optimization of Hyperparameters R package ParBayesianOptimization version 1.4.2 Fast, flexible framework for implementing Bayesian optimization of model hyperparameters according to the methods described in Snoek et al. (2012) <doi:10.48550/arXiv.1206.2944>. The package allows the user to run scoring function in parallel, save intermediary results, and tweak other aspects of the process to fully utilize the computing resources available to the user. Software Depends: R (>= 4.1) Imports: cli, data.table (>= 1.11.8), dbscan, DiceKriging, foreach, ggplot2 (>= 3.3.0), graphics, lhs, patchwork, stats, utils Suggests: knitr, quarto, testthat (>= 3.1.8), withr, xgboost (>= 3.0.0) Novica Nakov <nnovica@gmail.com> Comprehensive R Archive Network (CRAN) Samuel Wilson [aut, cph], Novica Nakov [aut, cre, cph] (ORCID: <https://orcid.org/0009-0005-7773-7718>) GPL-2 2026-10-20 application/tgz https://CRAN.R-project.org/package=ParBayesianOptimization doi:10.32614/CRAN.package.ParBayesianOptimization