PopED: Population (and Individual) Optimal Experimental Design
Version 0.3.2

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.

Package details

AuthorAndrew 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)
Date of publication2016-12-12 18:16:19
MaintainerAndrew C. Hooker <[email protected]>
LicenseLGPL (>= 3)
Version0.3.2
URL http://poped.sourceforge.net
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PopED")

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PopED documentation built on May 29, 2017, 10:55 a.m.