DoE.MIParray: An R Package for Algorithmic Creation of Orthogonal Arrays. Issue 1 (7th October 2020)

• Record Type: Journal Article
• Authors: Grömping, Ulrike
• Is Part Of: Journal of open research software. Volume 8:Issue 1(2020)
• Publication Date: 2020-10-07
• Subjects: R -- statistics -- design of experiments -- orthogonal arrays -- mixed integer optimization -- Mosek -- Gurobi -- well-balanced arrays -- generalized minimum aberration; Computer software -- Reusability -- Periodicals; Open source software -- Periodicals; 005
• DOI: 10.5334/jors.286
• Languages: English
• ISSNs: 2049-9647

Abstract

The R packageDoE.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.