plot.optimal_rerandomization_obj

The <code>optimal_rerandomization_obj</code> object to be summarized in the plot

The option <code>advanced = TRUE</code> can be passed here for optimal rerandomization 
results from algorithm type "approx" to see how all the terms in the criterion behave.
You can pass <code>s_min</code> which controls the minimum number of vectors the plot begins at. 
Below a certain number, the criterion is unstable.
Also, <code>title</code>, <code>subtitle</code>, <code>xlab</code> and <code>ylab</code> can be passed here.

Plots a summary of a <code>optimal_rerandomization_obj</code> object

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>.

Adam Kapelner

plot.optimal_rerandomization_obj: Plots a summary of a `optimal_rerandomization_obj` object

Description

Usage

Arguments

Value