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DoE.MIParray: An R Package for Algorithmic Creation of Orthogonal Arrays Cover

DoE.MIParray: An R Package for Algorithmic Creation of Orthogonal Arrays

Open Access
|Oct 2020

Abstract

The R package DoE.MIParray uses mixed integer optimization for creating well-balanced arrays for experimental designs. Its use requires availability of at least one of the commercial optimizers Gurobi or Mosek. Investing some effort into the creation of a suitable array is justified, because experimental runs are often very expensive, so that their information content should be maximized. DoE.MIParray is particularly useful for creating relatively small mixed level designs. Balance is optimized by applying the quality criterion “generalized minimum aberration” (GMA), which aims at minimizing confounding of low order effects in factorial models, without assuming a specific model. For relevant cases, DoE.MIParray exploits a lower bound on its objective function, which allows to drastically reduce the computational burden of mixed integer optimization.

 

Funding statement: The work on this software is the outcome of research that was funded by Deutsche Forschungsgemeinschaft (grant GR 3843/2-1).

DOI: https://doi.org/10.5334/jors.286 | Journal eISSN: 2049-9647
Language: English
Submitted on: Jul 17, 2019
Accepted on: Sep 17, 2020
Published on: Oct 7, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Ulrike Grömping, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.