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] |
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