MOODE: An R Package for Multi-Objective Optimal Design of Experiments
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909438503288832 |
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| author | Koutra, Vasiliki Egorova, Olga Gilmour, Steven G. Trinca, Luzia A. |
| author_facet | Koutra, Vasiliki Egorova, Olga Gilmour, Steven G. Trinca, Luzia A. |
| contents | We describe the R package MOODE and demonstrate its use to find multi-objective optimal experimental designs. Multi-Objective Optimal Design of Experiments (MOODE) targets the experimental objectives directly, ensuring that the full set of research questions is answered as economically as possible. In particular, individual criteria aimed at optimizing inference are combined with lack-of-fit and MSE-based components in compound optimality criteria to target multiple and competing objectives reflecting the priorities and aims of the experimentation. The package implements either a point exchange or coordinate exchange algorithm as appropriate to find nearly optimal designs. We demonstrate the functionality of MOODE through the application of the methodology to two case studies of varying complexity. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2412_17158 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MOODE: An R Package for Multi-Objective Optimal Design of Experiments Koutra, Vasiliki Egorova, Olga Gilmour, Steven G. Trinca, Luzia A. Computation Methodology 62K05, 62K20, 62-04, 62-08 We describe the R package MOODE and demonstrate its use to find multi-objective optimal experimental designs. Multi-Objective Optimal Design of Experiments (MOODE) targets the experimental objectives directly, ensuring that the full set of research questions is answered as economically as possible. In particular, individual criteria aimed at optimizing inference are combined with lack-of-fit and MSE-based components in compound optimality criteria to target multiple and competing objectives reflecting the priorities and aims of the experimentation. The package implements either a point exchange or coordinate exchange algorithm as appropriate to find nearly optimal designs. We demonstrate the functionality of MOODE through the application of the methodology to two case studies of varying complexity. |
| title | MOODE: An R Package for Multi-Objective Optimal Design of Experiments |
| topic | Computation Methodology 62K05, 62K20, 62-04, 62-08 |
| url | https://arxiv.org/abs/2412.17158 |