rand

The dimension of the matrix (if square), otherwise the number of rows.

dim1

The number of columns, if different from the number of rows.

dim2

Generate random samples from a uniform distribution [0,1] 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

rand 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 rand function — rand

<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>

rand: Function written to match MATLAB's rand function

Description

Usage

Value

Arguments

See Also

Examples