randn

Generate random samples from a standardized normal distribution and return in matrix form.

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

randn function

<dl><dt>dim1</dt>
<dd>The dimension of the matrix (if square), otherwise the number of rows.</dd>
<dt>dim2</dt>
<dd>The number of columns, if different from the number of rows.</dd></dl>

Arguments

Function written to match MATLAB's randn function — randn

<dl>

<dt>dim1</dt>
<dd>The dimension of the matrix (if square), otherwise the number of rows.</dd>


<dt>dim2</dt>
<dd>The number of columns, if different from the number of rows.</dd>

</dl>

randn: Function written to match MATLAB's randn function

Description

Usage

Value

Arguments

See Also

Examples