design_efficiency

Takes an optimal design provided from the function <code>opt_des</code> and a user given design and compares their
efficiency

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

design_efficiency function

<dl><dt>design</dt>
<dd>dataframe that represents the design. Must have two columns:<ul>
<li><code>Point</code> contains the support points of the design.</li>
<li><code>Weight</code> contains the corresponding weights of the <code>Point</code>s.</li>
</ul></dd>
<dt>opt_des_obj</dt>
<dd>an object given by the function <code>opt_des</code>.</dd></dl>

Arguments

Efficiency between optimal design and a user given design — design_efficiency

<dl>

<dt>design</dt>
<dd>dataframe that represents the design. Must have two columns:<ul>
<li><code>Point</code> contains the support points of the design.</li>
<li><code>Weight</code> contains the corresponding weights of the <code>Point</code>s.</li>
</ul></dd>


<dt>opt_des_obj</dt>
<dd>an object given by the function <code>opt_des</code>.</dd>

</dl>

design_efficiency: Efficiency between optimal design and a user given design

Description

Usage

Value

Arguments

See Also

Examples