weight2

A function that removing boundary points after newton's method.

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

weight2 function

<dl><dt>opt</dt>
<dd>Integer. <code>opt=0</code> means D-optimal, <code>opt=1</code> means A-optimal.</dd>
<dt>x</dt>
<dd>Matrix, a design returned by <code>weight1</code>.</dd>
<dt>t</dt>
<dd>Integer. Number of levels of treatment.</dd>
<dt>g_part</dt>
<dd>Matrix. Contrast matrix. Its column numbers must match the row
number of information matrix.</dd>
<dt>w0</dt>
<dd>Numeric Vector. Initial weights.</dd>
<dt>infor_design</dt>
<dd>Function. A function for calculating information matrix.</dd>
<dt>...</dt>
<dd>other necessary control parameters</dd></dl>

Arguments

Implementation of Newton's method, part 2. — weight2

<dl>

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


<dt>x</dt>
<dd>Matrix, a design returned by <code>weight1</code>.</dd>


<dt>t</dt>
<dd>Integer. Number of levels of treatment.</dd>


<dt>g_part</dt>
<dd>Matrix. Contrast matrix. Its column numbers must match the row
number of information matrix.</dd>


<dt>w0</dt>
<dd>Numeric Vector. Initial weights.</dd>


<dt>infor_design</dt>
<dd>Function. A function for calculating information matrix.</dd>


<dt>...</dt>
<dd>other necessary control parameters</dd>

</dl>

weight2: Implementation of Newton's method, part 2.

Description

Usage

Value

Arguments