PopED: Population (and Individual) Optimal Experimental Design

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 (FIM). This package was developed for pharmacometric problems, and examples and predefined models are available for these types of systems.

Version: 0.3.0
Depends: ggplot2
Imports: MASS, mvtnorm, nlme, dplyr, codetools, stats, utils
Suggests: testthat, Hmisc, GA
Published: 2015-12-29
Author: Andrew C. Hooker [aut, cre, trl, cph], Sebastian Ueckert [aut] (MATLAB version), Marco Foracchia [aut] (O-Matrix version), Joakim Nyberg [aut] (MATLAB version), Eric Stroemberg [ctb] (MATLAB version)
Maintainer: Andrew C. Hooker <andrew.hooker at farmbio.uu.se>
BugReports: https://github.com/andrewhooker/PopED/issues
License: LGPL (≥ 3)
Copyright: 2014-2015 Andrew C. Hooker
URL: http://poped.sourceforge.net
NeedsCompilation: no
Citation: PopED citation info
Materials: README NEWS
In views: ExperimentalDesign
CRAN checks: PopED results


Reference manual: PopED.pdf
Package source: PopED_0.3.0.tar.gz
Windows binaries: r-devel: PopED_0.3.0.zip, r-release: PopED_0.3.0.zip, r-oldrel: PopED_0.3.0.zip
OS X Mavericks binaries: r-release: PopED_0.3.0.tgz, r-oldrel: PopED_0.3.0.tgz
Old sources: PopED archive