crosspoints

Given the parameters for augmenting a design, this function calculates the
crosspoints in the efficiency function that delimit the candidate points
region

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

crosspoints function

<dl><dt>val</dt>
<dd>Efficiency value to solve in the curve relationing the space of the design and efficiency of new design</dd>
<dt>sens</dt>
<dd>Sensitivity function of the design for the model</dd>
<dt>gridlength</dt>
<dd>Number of points in the grid to find the crosspoints</dd>
<dt>tol</dt>
<dd>Tolerance that establishes how close two points close to one another are considered the same</dd>
<dt>xmin</dt>
<dd>Minimum of the space of the design</dd>
<dt>xmax</dt>
<dd>Maximum of the space of the design</dd></dl>

Arguments

Calculate crosspoints — crosspoints

<dl>

<dt>val</dt>
<dd>Efficiency value to solve in the curve relationing the space of the design and efficiency of new design</dd>


<dt>sens</dt>
<dd>Sensitivity function of the design for the model</dd>


<dt>gridlength</dt>
<dd>Number of points in the grid to find the crosspoints</dd>


<dt>tol</dt>
<dd>Tolerance that establishes how close two points close to one another are considered the same</dd>


<dt>xmin</dt>
<dd>Minimum of the space of the design</dd>


<dt>xmax</dt>
<dd>Maximum of the space of the design</dd>

</dl>

crosspoints: Calculate crosspoints

Description

Usage

Value

Arguments