generate_contrast

generate_contrast.interference

generate_contrast.dropout

generate_contrast.proportional

A function return a matrix of contrast for given values of configuration.

internal

An implementation of optimal weight exchange algorithm Yang(2013) <doi:10.1080/01621459.2013.806268> for three models.
They are Crossover model with subject dropout, crossover model with proportional
first order residual effects and interference model. You can use it to find either
A-opt or D-opt approximate designs. Exact designs can be automatically rounded
from approximate designs and relative efficiency is provided as well.

Shuai Hao

OWEA

Optimal Weight Exchange Algorithm for Optimal Designs for Three
Models

Min Yang

Wei Zheng

generate_contrast function

<dl><dt>opt</dt>
<dd>Numeric. <code>opt</code> = 0 means D-optimal, <code>opt</code> = 1 means A-optimal.</dd>
<dt>t</dt>
<dd>Positive Integer. The number of levels of treatments. of one of those
classes 'dropout','proportional', or 'interference'.</dd>
<dt>p</dt>
<dd>Postitive Integer. The number of periods, or number of plots in a block.</dd></dl>

Arguments

Generate contrast matrix — generate_contrast

<dl>

<dt>opt</dt>
<dd>Numeric. <code>opt</code> = 0 means D-optimal, <code>opt</code> = 1 means A-optimal.</dd>


<dt>t</dt>
<dd>Positive Integer. The number of levels of treatments. of one of those
classes 'dropout','proportional', or 'interference'.</dd>


<dt>p</dt>
<dd>Postitive Integer. The number of periods, or number of plots in a block.</dd>

</dl>

generate_contrast: Generate contrast matrix

Description

Usage

Arguments