OptimalRerandExpDesigns swMATH ID: 41808 Software Authors: Adam Kapelner, Michael Sklar, Abba M. Krieger, David Azriel Description: R package OptimalRerandExpDesigns: Optimal Rerandomization Experimental Designs. This is a tool to find the optimal rerandomization threshold in non-sequential experiments. We offer three procedures based on assumptions made on the residuals distribution: (1) normality assumed (2) excess kurtosis assumed (3) entire distribution assumed. Illustrations are included. Also included is a routine to unbiasedly estimate Frobenius norms of variance-covariance matrices. Details of the method can be found in ”Optimal Rerandomization via a Criterion that Provides Insurance Against Failed Experiments” Adam Kapelner, Abba M. Krieger, Michael Sklar and David Azriel (2020) <arXiv:1905.03337>. Homepage: https://cran.r-project.org/web/packages/OptimalRerandExpDesigns/index.html Source Code: https://github.com/cran/OptimalRerandExpDesigns Dependencies: R Related Software: GreedyExperimentalDesign; R; CRAN Cited in: 1 Publication Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year Optimal rerandomization designs via a criterion that provides insurance against failed experiments. Zbl 1484.62126Kapelner, Adam; Krieger, Abba M.; Sklar, Michael; Azriel, David 2022 Cited by 4 Authors 1 Azriel, David 1 Kapelner, Adam 1 Krieger, Abba M. 1 Sklar, Michael Benjamin Cited in 1 Serial 1 Journal of Statistical Planning and Inference Cited in 1 Field 1 Statistics (62-XX) Citations by Year