wDsensitivity

for<ul>
<li>D-optimality: <code>NULL</code></li>
<li>D_s-optimality: a vector of names or indices, the subset of parameters of interest.</li>
<li>D_A-optimality: either<ul>
<li>directly: a matrix without row names.</li>
<li>indirectly: a matrix with row names corresponding to the parameters.</li>
</ul></li>
</ul>

a vector of names or indices, the subset of parameters to use.
Defaults to the parameters for which the Fisher information is available.

parNames

a named list of default values.
The value <code>NULL</code> is equivalent to absence.

defaults

<code>wDsensitivity</code> builds a sensitivity function for the weighted D-, D_s or D_A-optimality criterion which relies on defaults to speed up evaluation.
<code>Wynn</code> for instance requires this behaviour/protocol.

A direct approach to optimal designs for copula models based on
the Fisher information. Provides flexible functions for building joint PDFs,
evaluating the Fisher information and finding optimal designs. It includes an
extensible solution to summation and integration called 'nint', functions for
transforming, plotting and comparing designs, as well as a set of tools for
common low-level tasks.

wDsensitivity: Weighted D Sensitivity

Description

Usage

Arguments

Value

Details

See Also