poped.choose

Function chooses <code>arg1</code> unless it is <code>NULL</code> in which case <code>arg2</code> is chosen.

internal

Optimal experimental designs for both population and individual
studies based on nonlinear mixed-effect models. Often this is based on a
computation of the Fisher Information Matrix. This package was developed
for pharmacometric problems, and examples and predefined models are available
for these types of systems. The methods are described in Nyberg et al.
(2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004)
<doi:10.1016/S0169-2607(03)00073-7>.

Andrew C. Hooker

PopED

Population (and Individual) Optimal Experimental Design

Marco Foracchia

Eric Stroemberg

Martin Fink

Giulia Lestini

Sebastian Ueckert

Joakim Nyberg

poped.choose function

<dl><dt>arg1</dt>
<dd>The first argument</dd>
<dt>arg2</dt>
<dd>The second argument</dd></dl>

Arguments

Choose between arg1 and arg2 — poped.choose

<dl>

<dt>arg1</dt>
<dd>The first argument</dd>


<dt>arg2</dt>
<dd>The second argument</dd>

</dl>

poped.choose: Choose between `arg1` and `arg2`

Description

Usage

Arguments

See Also

Examples