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) .


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install.packages("OptimalRerandExpDesigns")

1.1 by Adam Kapelner, a month ago


https://github.com/kapelner/OptimalRerandExpDesigns


Browse source code at https://github.com/cran/OptimalRerandExpDesigns


Authors: Adam Kapelner , Michael Sklar , Abba M. Krieger and David Azriel


Documentation:   PDF Manual  


GPL-3 license


Imports stats

Depends on ggplot2, momentchi2, GreedyExperimentalDesign


See at CRAN