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: 0.6.0
Depends: R (≥ 2.14)
Imports: ggplot2, MASS, mvtnorm, dplyr (≥ 0.7.0), codetools, stats, utils, magrittr, boot, purrr, stringr, tibble, gtools
Suggests: testthat, Hmisc, nlme, GA, deSolve, Rcpp, shiny, rhandsontable, knitr, rmarkdown, gridExtra, covr, devtools, mrgsolve
Published: 2021-05-21
Author: Andrew C. Hooker ORCID iD [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 ORCID iD [aut] (MATLAB version), Joakim Nyberg [aut] (MATLAB version)
Maintainer: Andrew C. Hooker <andrew.hooker at farmaci.uu.se>
BugReports: https://github.com/andrewhooker/PopED/issues
License: LGPL (≥ 3)
Copyright: 2014-2021 Andrew C. Hooker
URL: https://andrewhooker.github.io/PopED/, https://github.com/andrewhooker/PopED,
NeedsCompilation: no
Citation: PopED citation info
Materials: README NEWS
In views: ExperimentalDesign
CRAN checks: PopED results

Documentation:

Reference manual: PopED.pdf
Vignettes: Examples
Introduction to PopED

Downloads:

Package source: PopED_0.6.0.tar.gz
Windows binaries: r-devel: PopED_0.6.0.zip, r-release: PopED_0.6.0.zip, r-oldrel: PopED_0.6.0.zip
macOS binaries: r-release (arm64): PopED_0.6.0.tgz, r-release (x86_64): PopED_0.6.0.tgz, r-oldrel: PopED_0.6.0.tgz
Old sources: PopED archive

Reverse dependencies:

Reverse imports: ncappc

Linking:

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