candidate_set_full

This function forms the full extended candidate set with all polynomial terms, with labels, not orthonormalised.

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

candidate_set_full function

<dl><dt>cand.trt</dt>
<dd>Candidate set of treatments, the first column contains treatment labels.
Usually obtained as output from the candidate_trt_set function.</dd>
<dt>K</dt>
<dd>Number of factors.</dd></dl>

Arguments

Forms the full candidate set of treatments for all polynomial terms — candidate_set_full

<dl>

<dt>cand.trt</dt>
<dd>Candidate set of treatments, the first column contains treatment labels.
Usually obtained as output from the candidate_trt_set function.</dd>


<dt>K</dt>
<dd>Number of factors.</dd>

</dl>

candidate_set_full: Forms the full candidate set of treatments for all polynomial terms

Description

Usage

Value

Arguments

Examples