median_hilow_poped

Additional arguments passed to <code><a rd-options="Hmisc" href="/link/smedian.hilow?package=PopED&version=0.3.2&to=Hmisc" data-mini-rdoc="Hmisc::smedian.hilow">smedian.hilow</a></code> or 
<code><a rd-options="ggplot2" href="/link/median_hilow?package=PopED&version=0.3.2&to=ggplot2" data-mini-rdoc="ggplot2::median_hilow">median_hilow</a></code>, depending on your version of ggplot.

Created for back compatibility with older versions of ggplot, and so that 
PopED does not have to load ggplot when started.

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.

Andrew C Hooker

PopED

Population (and Individual) Optimal Experimental Design

Andrew C. Hooker

Sebastian Ueckert

Marco Foracchia

Joakim Nyberg

Eric Stroemberg

median_hilow_poped function

Additional arguments passed to <code><a rd-options='Hmisc' href='smedian.hilow'>smedian.hilow</a></code> or 
<code><a rd-options='ggplot2' href='median_hilow'>median_hilow</a></code>, depending on your version of ggplot.

median_hilow_poped: Wrap summary functions from Hmisc and ggplot to work with stat_summary in ggplot

Description

Usage

Arguments