convert_variables

poped.db

<p>Function takes design variables from input files
and converts them to the global variables needed
in PopED.  Typically not used by the user.  Instead 
use the function <code><a rd-options="" href="/link/create.poped.database?package=PopED&version=0.4.0" data-mini-rdoc="PopED::create.poped.database">create.poped.database</a></code>.</p>

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

Andrew C. Hooker

Marco Foracchia

Eric Stroemberg

Martin Fink

Giulia Lestini

Sebastian Ueckert

Joakim Nyberg

convert_variables function

<p>Function takes design variables from input files
and converts them to the global variables needed
in PopED.  Typically not used by the user.  Instead 
use the function <code><a rd-options='' href='create.poped.database'>create.poped.database</a></code>.</p>

Create global variables in the PopED database — convert_variables

Create global variables in the PopED database

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convert_variables: Create global variables in the PopED database

Description

Usage

Arguments

Value

See Also