multiDoE: Multi-Criteria Design of Experiments for Optimal Design

Multi-criteria design of experiments algorithm that simultaneously optimizes up to six different criteria ('I', 'Id', 'D', 'Ds', 'A' and 'As'). The algorithm finds the optimal Pareto front and, if requested, selects a possible symmetrical design on it. The symmetrical design is selected based on two techniques: minimum distance with the Utopia point or the 'TOPSIS' approach.

Version: 0.9.4
Depends: R (≥ 3.5.0)
Imports: ggplot2, magrittr, plotly, pracma
Suggests: devtools, here, knitr, logr, markdown, rgl, rmarkdown, testthat (≥ 3.0.0), usethis
Published: 2025-04-02
DOI: 10.32614/CRAN.package.multiDoE
Author: Francesca Cucchi [aut], Andrea Melloncelli [aut, cre], Francesco Sambo [aut], Kalliopi Mylona [aut], Matteo Borrotti [aut]
Maintainer: Andrea Melloncelli <andrea.melloncelli at vanlog.it>
License: CC BY 4.0
URL: https://github.com/andreamelloncelli/multiDoE
NeedsCompilation: no
Materials: README
CRAN checks: multiDoE results

Documentation:

Reference manual: multiDoE.pdf
Vignettes: my-vignette (source, R code)

Downloads:

Package source: multiDoE_0.9.4.tar.gz
Windows binaries: r-devel: multiDoE_0.9.4.zip, r-release: multiDoE_0.9.4.zip, r-oldrel: multiDoE_0.9.4.zip
macOS binaries: r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: multiDoE archive

Linking:

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