add_points

Given a set of points, a weight and the design, the function adds these points
to the new design with uniform weight, and combined weight alpha

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

add_points function

<dl><dt>points</dt>
<dd>Points to be added to the design</dd>
<dt>alpha</dt>
<dd>Combined weight of the new points to be added to the design</dd>
<dt>design</dt>
<dd>A design as a dataframe with "Point" and "Weight" columns</dd></dl>

Arguments

Update design given crosspoints and alpha — add_points

<dl>

<dt>points</dt>
<dd>Points to be added to the design</dd>


<dt>alpha</dt>
<dd>Combined weight of the new points to be added to the design</dd>


<dt>design</dt>
<dd>A design as a dataframe with "Point" and "Weight" columns</dd>

</dl>

add_points: Update design given crosspoints and alpha

Description

Usage

Value

Arguments