PopED (0.3.2)

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Population (and Individual) Optimal Experimental Design.

http://poped.sourceforge.net
http://cran.r-project.org/web/packages/PopED

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.

Maintainer: Andrew Hooker
Author(s): 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)

License: LGPL (>= 3)

Uses: codetools, dplyr, ggplot2, MASS, mvtnorm, Hmisc, nlme, deSolve, testthat, knitr, GA, shiny, rmarkdown, rhandsontable

Released 10 months ago.


4 previous versions

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