point.swap

Performing point-exchange algorithm, extensive swap of points procedure between the current design
and candidate set.

internal

Provides functionality to generate compound optimal designs for targeting the multiple experimental objectives directly, ensuring that the full set of research questions is answered as economically as possible. Designs can be found using point or coordinate exchange algorithms combining estimation, inference and lack-of-fit criteria that account for model inadequacy. Details and examples are given by Koutra et al. (2024) <doi:10.48550/arXiv.2412.17158>.

Vasiliki Koutra

MOODE

Multi-Objective Optimal Design of Experiments

Olga Egorova

Steven Gilmour

Luzia Trinca

point.swap function

<dl><dt>X1</dt>
<dd>Current fitted (primary) model matrix</dd>
<dt>X2</dt>
<dd>Current potential terms matrix</dd>
<dt>cand.full</dt>
<dd>Full candidate matrix</dd>
<dt>search.object</dt>
<dd>Object for the search</dd></dl>

Arguments

Swapping points between the current design and candidate set — point.swap

<dl>

<dt>X1</dt>
<dd>Current fitted (primary) model matrix</dd>


<dt>X2</dt>
<dd>Current potential terms matrix</dd>


<dt>cand.full</dt>
<dd>Full candidate matrix</dd>


<dt>search.object</dt>
<dd>Object for the search</dd>

</dl>

point.swap: Swapping points between the current design and candidate set

Description

Usage

Value

Arguments

Details