criteria.values.mse

Calculating values of determinant- and trace-based components of
MSE(D)- and MSE(L)- criteria for an output of a search object,
with model and control parameters set in a mood object.

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

criteria.values.mse function

<dl><dt>search.obj</dt>
<dd>Output of the `Search' function</dd>
<dt>mood.obj</dt>
<dd>Output of the `mood' function</dd>
<dt>eps</dt>
<dd>Computational tolerance, default 10^-20</dd>
<dt>Biter</dt>
<dd>MC sample size for evaluating the mse(D)-component</dd></dl>

Arguments

Evaluating individual criteria of the designs — criteria.values.mse

<dl>

<dt>search.obj</dt>
<dd>Output of the `Search' function</dd>


<dt>mood.obj</dt>
<dd>Output of the `mood' function</dd>


<dt>eps</dt>
<dd>Computational tolerance, default 10^-20</dd>


<dt>Biter</dt>
<dd>MC sample size for evaluating the mse(D)-component</dd>

</dl>

criteria.values.mse: Evaluating individual criteria of the designs

Description

Usage

Value

Arguments