Efficiency between two Information Matrices

Calculates D-, Ds-, A-, I- and L-optimal designs for non-linear models, via an implementation of the cocktail algorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>). Compares designs via their efficiency, and augments any design with a controlled efficiency. An efficient rounding function has been provided to transform approximate designs to exact designs.

Carlos de la Calle-Arroyo

optedr

Calculating Optimal and D-Augmented Designs

Jesús López-Fidalgo

Licesio J. Rodríguez-Aragón

eff function

<dl><dt>criterion</dt>
<dd>character variable with the chosen optimality criterion. Can be one of the following:<ul>
<li>'D-Optimality'</li>
<li>'Ds-Optimality'</li>
<li>'A-Optimality'</li>
<li>'I-Optimality'</li>
<li>'L-Optimality'</li>
</ul></dd>
<dt>mat1</dt>
<dd>first information matrix, for the numerator.</dd>
<dt>mat2</dt>
<dd>second information matrix, for the denominator.</dd>
<dt>k</dt>
<dd>number of parameters of the model. Taken from the number of rows of the matrix if omitted.</dd>
<dt>intPars</dt>
<dd>numeric vector with the index of the parameters of interest of the model. Only for "Ds-Optimality".</dd>
<dt>matB</dt>
<dd>matrix of the integral of the information matrix over the interest region. Only for "I-Optimality".</dd></dl>

Arguments

Efficiency between two Information Matrices — eff

<dl>

<dt>criterion</dt>
<dd>character variable with the chosen optimality criterion. Can be one of the following:<ul>
<li>'D-Optimality'</li>
<li>'Ds-Optimality'</li>
<li>'A-Optimality'</li>
<li>'I-Optimality'</li>
<li>'L-Optimality'</li>
</ul></dd>


<dt>mat1</dt>
<dd>first information matrix, for the numerator.</dd>


<dt>mat2</dt>
<dd>second information matrix, for the denominator.</dd>


<dt>k</dt>
<dd>number of parameters of the model. Taken from the number of rows of the matrix if omitted.</dd>


<dt>intPars</dt>
<dd>numeric vector with the index of the parameters of interest of the model. Only for "Ds-Optimality".</dd>


<dt>matB</dt>
<dd>matrix of the integral of the information matrix over the interest region. Only for "I-Optimality".</dd>

</dl>

eff: Efficiency between two Information Matrices

Description

Usage

Value

Arguments