PopED: Population (and individual) Experimental Design in R

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PopED computes 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 (FIM).


You need to have R installed. Download the latest version of R from www.r-project.org. Install PopED in R using one of the following methods:


Getting started

To get started you need to define

  1. A model.
  2. An initial design (and design space if you want to optimize).
  3. The tasks to perform.

There are a number of functions to help you with these tasks. See ?poped for more information.

There are several other examples, as r-scripts, in the "examples" folder in the PopED installation directory located at:

system.file("examples", package="PopED")

The same examples are located in the "inst/examples" directory of this repository.