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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.1 by Adam Kapelner, a year ago


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