Optimal experimental designs for both population and individual studies based on nonlinear mixedeffect 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/S01692607(03)000737>.
Package details 


Maintainer  
License  LGPL (>= 3) 
Version  0.4.0.9000 
URL  https://github.com/andrewhooker/PopED https://andrewhooker.github.io/PopED http://poped.sourceforge.net 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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