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. This package was developed for pharmacometric problems, and examples and predefined models are available for these types of systems. The methods are described in Nyberg et al. (2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004) <doi:10.1016/S0169-2607(03)00073-7>.

Version: 0.4.0
Depends: R (≥ 2.14)
Imports: ggplot2, MASS, mvtnorm, dplyr, codetools, stats, utils, magrittr, boot, purrr, stringr, tibble, tidyr
Suggests: testthat, Hmisc, nlme, GA, deSolve, Rcpp, shiny, rhandsontable, knitr, rmarkdown, gridExtra, covr
Published: 2018-09-10
Author: Andrew C. Hooker [aut, cre, trl, cph], Marco Foracchia [aut] (O-Matrix version), Eric Stroemberg [ctb] (MATLAB version), Martin Fink [ctb] (Streamlining code, added functionality, vignettes), Giulia Lestini [ctb] (Streamlining code, added functionality, vignettes), Sebastian Ueckert [aut] (MATLAB version), Joakim Nyberg [aut] (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: Examples
Introduction to PopED
Package source: PopED_0.4.0.tar.gz
Windows binaries: r-devel: PopED_0.4.0.zip, r-devel-gcc8: PopED_0.4.0.zip, r-release: PopED_0.4.0.zip, r-oldrel: PopED_0.4.0.zip
OS X binaries: r-release: PopED_0.4.0.tgz, r-oldrel: PopED_0.4.0.tgz
Old sources: PopED archive

Reverse dependencies:

Reverse imports: ncappc


Please use the canonical form https://CRAN.R-project.org/package=PopED to link to this page.