infor_design

infor_design.default

infor_design.dropout

infor_design.interference

infor_design.proportional

Returns a information matrix for a given design

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

infor_design function

<dl><dt>design</dt>
<dd>Matrix. A design, each row is a design point with weight or
repetition on the last entry.</dd>
<dt>t</dt>
<dd>Numeric. Number of levels of treatments.</dd>
<dt>...</dt>
<dd>Other control parameter to be passed to methods</dd></dl>

Arguments

Generic function for information matrix. — infor_design

<dl>

<dt>design</dt>
<dd>Matrix. A design, each row is a design point with weight or
repetition on the last entry.</dd>


<dt>t</dt>
<dd>Numeric. Number of levels of treatments.</dd>


<dt>...</dt>
<dd>Other control parameter to be passed to methods</dd>

</dl>

infor_design: Generic function for information matrix.

Description

Usage

Value

Arguments