size

Function written to match MATLAB's size function

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

size function

<dl><dt>obj</dt>
<dd>An object you want to know the various dimensions of. Typically a matrix.</dd>
<dt>dimension.index</dt>
<dd>Which dimension you are interested in.</dd></dl>

Arguments

Function written to match MATLAB's size function — size

<dl>

<dt>obj</dt>
<dd>An object you want to know the various dimensions of. Typically a matrix.</dd>


<dt>dimension.index</dt>
<dd>Which dimension you are interested in.</dd>

</dl>

size: Function written to match MATLAB's size function

Description

Usage

Value

Arguments

See Also

Examples