internal

function

value

returns

objective

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

phi function

<dl><dt>covar</dt>
<dd>Matrix, a covariance matrix for parameters at certain design</dd>
<dt>opt</dt>
<dd>Integer. <code>opt=0</code> means D-optimal, <code>opt=1</code> means A-optimal.</dd></dl>

Arguments

Function for objective function — phi

<dl>

<dt>covar</dt>
<dd>Matrix, a covariance matrix for parameters at certain design</dd>


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

</dl>

Function for objective function

phi: Function for objective function

Description

Usage

Arguments