design_summary

An object returned from <code><a rd-options="" href="/link/create.poped.database?package=PopED&version=0.6.0" data-mini-rdoc="PopED::create.poped.database">create.poped.database</a></code> to summarize.

poped_db

A file handle to write to. Default is to the R console.

file

Additional arguments. Passed to <code><a rd-options="" href="/link/blockfinal?package=PopED&version=0.6.0" data-mini-rdoc="PopED::blockfinal">blockfinal</a></code>.

Display a summary of output from poped_db

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

design_summary function

<dl><dt>poped_db</dt>
<dd>An object returned from <code>create.poped.database</code> to summarize.</dd>
<dt>file</dt>
<dd>A file handle to write to. Default is to the R console.</dd>
<dt>...</dt>
<dd>Additional arguments. Passed to <code>blockfinal</code>.</dd></dl>

Arguments

Display a summary of output from poped_db — design_summary

<dl>

<dt>poped_db</dt>
<dd>An object returned from <code>create.poped.database</code> to summarize.</dd>


<dt>file</dt>
<dd>A file handle to write to. Default is to the R console.</dd>


<dt>...</dt>
<dd>Additional arguments. Passed to <code>blockfinal</code>.</dd>

</dl>

design_summary: Display a summary of output from poped_db

Description

Usage

Arguments