Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Adam Kapelner, Michael Sklar, Abba M. Krieger and David Azriel |
| Maintainer | Adam Kapelner <kapelner@qc.cuny.edu> |
| License | GPL-3 |
| Version | 1.1 |
| URL | https://github.com/kapelner/OptimalRerandExpDesigns |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the OptimalRerandExpDesigns package in your browser
Any scripts or data that you put into this service are public.
