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OptimalRerandExpDesigns  

Optimal Rerandomization Experimental Designs
View on CRAN: Click here


Download and install OptimalRerandExpDesigns package within the R console
Install from CRAN:
install.packages("OptimalRerandExpDesigns")

Install from Github:
library("remotes")
install_github("cran/OptimalRerandExpDesigns")

Install by package version:
library("remotes")
install_version("OptimalRerandExpDesigns", "1.1")



Attach the package and use:
library("OptimalRerandExpDesigns")
Maintained by
Adam Kapelner
[Scholar Profile | Author Map]
First Published: 2021-01-28
Latest Update: 2021-01-28
Description:
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) .
How to cite:
Adam Kapelner (2021). OptimalRerandExpDesigns: Optimal Rerandomization Experimental Designs. R package version 1.1, https://cran.r-project.org/web/packages/OptimalRerandExpDesigns. Accessed 07 Apr. 2025.
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