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: | 0.2.0 |
| Depends: | ggplot2 |
| Imports: | MASS, mvtnorm, nlme, dplyr, codetools |
| Suggests: | testthat, Hmisc |
| Published: | 2015-03-20 |
| 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_0.2.0.tar.gz |
| Windows binaries: | r-devel: PopED_0.2.0.zip, r-release: PopED_0.2.0.zip, r-oldrel: PopED_0.2.0.zip |
| OS X Snow Leopard binaries: | r-release: PopED_0.2.0.tgz, r-oldrel: PopED_0.2.0.tgz |
| OS X Mavericks binaries: | r-release: PopED_0.2.0.tgz |
| Old sources: | PopED archive |