PopED computes optimal experimental designs for both population studies and individual studies based on nonlinear mixed-effect models. Often this is based on a computation of the Fisher Information Matrix (FIM).
Version: | 0.1.2 |
Depends: | ggplot2 |
Imports: | MASS, mvtnorm, nlme, dplyr, codetools |
Suggests: | testthat, Hmisc |
Published: | 2014-11-19 |
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> |
License: | LGPL (≥ 3) |
Copyright: | 2014 Andrew C. Hooker |
URL: | http://poped.sourceforge.net, https://github.com/andrewhooker/PopED.git |
NeedsCompilation: | no |
Citation: | PopED citation info |
Materials: | README NEWS |
CRAN checks: | PopED results |
Reference manual: | PopED.pdf |
Package source: | PopED_0.1.2.tar.gz |
Windows binaries: | r-devel: PopED_0.1.2.zip, r-release: PopED_0.1.2.zip, r-oldrel: PopED_0.1.2.zip |
OS X Snow Leopard binaries: | r-release: PopED_0.1.2.tgz, r-oldrel: PopED_0.1.1.tgz |
OS X Mavericks binaries: | r-release: PopED_0.1.2.tgz |
Old sources: | PopED archive |