That was quick: package sources of SPOT, the Sequential Parameter Optimization Toolbox, Version 2.5.18, are available on CRAN, see https://cran.r-project.org/web/packages/SPOT/index.html. Binaries will be available soon.
Many thanks to the CRAN team!
About SPOT
A set of tools for model-based optimization and tuning of algorithms (hyperparameter tuning respectively hyperparameter optimization). It includes surrogate models, optimizers, and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
Package Information:
Package: SPOT
Version: 2.5.18
Title: Sequential Parameter Optimization Toolbox
Author(s): Thomas Bartz-Beielstein [aut, cre]
(<https://orcid.org/0000-0002-5938-5158>), Martin Zaefferer
[aut] (<https://orcid.org/0000-0003-2372-2092>), Frederik
Rehbach [aut] (<https://orcid.org/0000-0003-0922-8629>),
Margarita Rebolledo [ctb],
Maintainer: Thomas Bartz-Beielstein <tbb@bartzundbartz.de>
Depends: R (>= 3.5.0)
Suggests: babsim.hospital, batchtools, car, farff, knitr,
microbenchmark, rmarkdown, OpenML, party, RColorBrewer, readr,
testthat
Description: A set of tools for model-based optimization and tuning of
algorithms (hyperparameter tuning respectively hyperparameter
optimization). It includes surrogate models, optimizers, and
design of experiment approaches. The main interface is spot,
which uses sequentially updated surrogate models for the
purpose of efficient optimization. The main goal is to ease
the burden of objective function evaluations, when a single
evaluation requires a significant amount of resources.
License: GPL (>=2)
Imports: DEoptim, ggplot2, glmnet, graphics, grDevices, laGP, MASS,
nloptr, plgp, plotly, rpart, randomForest, ranger, rgenoud,
rsm, stats, utils
Version: 2.5.18