getCross2

Given the start of the candidates points region, the parity of the crosspoints
and the boundaries of the space of the design returns the effective limits of
the candidate points region. Those points, taken in pairs from the first to
the last delimit the 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

getCross2 function

<dl><dt>cross</dt>
<dd>Vector of crosspoints in the sensitivity function given an efficiency and weight</dd>
<dt>min</dt>
<dd>Minimum of the space of the design</dd>
<dt>max</dt>
<dd>Maximum of the space of the design</dd>
<dt>start</dt>
<dd>Boolean that gives the effective start of the candidate points region</dd>
<dt>par</dt>
<dd>Boolean with the parity of the region</dd></dl>

Arguments

Give effective limits to candidate points region — getCross2

<dl>

<dt>cross</dt>
<dd>Vector of crosspoints in the sensitivity function given an efficiency and weight</dd>


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


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


<dt>start</dt>
<dd>Boolean that gives the effective start of the candidate points region</dd>


<dt>par</dt>
<dd>Boolean with the parity of the region</dd>

</dl>

getCross2: Give effective limits to candidate points region

Description

Usage

Value

Arguments