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.
Version: | 0.3.2 |
Depends: | R (≥ 2.14) |
Imports: | ggplot2, MASS, mvtnorm, dplyr, codetools, stats, utils |
Suggests: | testthat, Hmisc, nlme, GA, deSolve, shiny, rhandsontable, knitr, rmarkdown |
Published: | 2016-12-12 |
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: | 2014-2016 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 |
Vignettes: |
1. Introduction to PopED |
Package source: | PopED_0.3.2.tar.gz |
Windows binaries: | r-devel: PopED_0.3.2.zip, r-release: PopED_0.3.2.zip, r-oldrel: PopED_0.3.2.zip |
OS X El Capitan binaries: | r-release: PopED_0.3.2.tgz |
OS X Mavericks binaries: | r-oldrel: PopED_0.3.2.tgz |
Old sources: | PopED archive |
Please use the canonical form https://CRAN.R-project.org/package=PopED to link to this page.