2021/04/08 by Harman, Radoslav, Filová, Lenka, Rosa, Samuel · 1 citation
#62K05 #Computation (stat.CO) #FOS: Computer and information sciences
paper · doi:10.48550/arxiv.2104.03995
For computing efficient approximate designs of multifactor experiments, we propose a simple algorithm based on adaptive exploration of the grid of all combinations of factor levels. We demonstrate that the algorithm significantly outperforms several state-of-the-art competitors for problems with discrete, continuous, as well as mixed factors. Importantly, we provide a free R code that permits direct verification of the numerical results and allows the researchers to easily compute optimal or nearly-optimal experimental designs for their own statistical models.