Finds optimal designs for nonlinear models using a metaheuristic algorithm called Imperialist Competitive Algorithm (ICA). See, for details, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014> and Masoudi et al. (2019) <doi:10.1080/10618600.2019.1601097>.

Optimal Designs for Nonlinear Statistical Models by Imperialist
Competitive Algorithm (ICA)

package-ubuntu-20.04-r-4.0.5#cran#ICAOD-1.0.1

<p>Print method for an object of class <code>minimax</code>.
</p>

## S3 method for class 'minimax'
print(x, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>An object of class <code>minimax</code>.</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>Argument with no further use.</p>
</td>
</tr>
</table>

<p><code><a href="minimax.html">minimax</a></code>, <code><a href="locally.html">locally</a></code>, <code><a href="robust.html">robust</a></code>, <code><a href="bayes.html">bayes</a></code>
</p>

package-ubuntu-20.04-r-4.0.5#cran#ICAOD-1.0.1#docs#print.minimax

`x`	An object of class `minimax`.
`...`	Argument with no further use.

print.minimax

Description

Usage

Arguments

See Also

ICAOD

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