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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: 0.9.2
Depends: R (≥ 3.5.0)
Imports: ggplot2, magrittr, plotly, pracma
Suggests: devtools, here, knitr, logr, markdown, rgl, rmarkdown, testthat (≥ 3.0.0), usethis
Published: 2024-11-19
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 [issues need fixing before 2024-12-03]

Documentation:

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

Downloads:

Package source: multiDoE_0.9.2.tar.gz
Windows binaries: r-devel: multiDoE_0.9.2.zip, r-release: not available, r-oldrel: multiDoE_0.9.2.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): multiDoE_0.9.2.tgz, r-oldrel (x86_64): multiDoE_0.9.2.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.