Optimal Rerandomization Experimental Designs R package OptimalRerandExpDesigns version 1.1 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>. Software Depends: R (>= 3.2.0), ggplot2 (>= 3.0), momentchi2 (>= 0.1.5), GreedyExperimentalDesign (>= 1.3) Imports: stats Adam Kapelner <kapelner@qc.cuny.edu> Comprehensive R Archive Network (CRAN) Adam Kapelner, Michael Sklar, Abba M. Krieger and David Azriel GPL-3 2021-01-28 application/tgz https://CRAN.R-project.org/package=OptimalRerandExpDesigns doi:10.32614/CRAN.package.OptimalRerandExpDesigns