SPOT: Sequential Parameter Optimization Toolbox

A set of tools for model-based optimization and tuning of algorithms. 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.

Version: 2.1.10
Depends: R (≥ 3.5.0)
Imports: randomForest, ranger, stats, utils, graphics, grDevices, MASS, DEoptim, rgenoud, plotly, rsm, nloptr, ggplot2, glmnet, SimInf, rpart, rpart.plot, smoof
Suggests: car, testthat, batchtools, knitr, rmarkdown, readr, party
Published: 2020-12-10
Author: Thomas Bartz-Beielstein ORCID iD [aut, cre], Joerg Stork [aut] (0000-0002-7471-3498), Martin Zaefferer ORCID iD [aut], Margarita Rebolledo [ctb], Christian Lasarczyk [ctb], Frederik Rehbach ORCID iD [aut]
Maintainer: Thomas Bartz-Beielstein <tbb at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: SPOT citation info
Materials: NEWS
CRAN checks: SPOT results


Reference manual: SPOT.pdf
Vignettes: SPOTVignetteNutshell
Package source: SPOT_2.1.10.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: SPOT_2.1.10.tgz, r-oldrel: SPOT_2.1.10.tgz
Old sources: SPOT archive

Reverse dependencies:

Reverse depends: TDMR
Reverse imports:, spotGUI


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