PopED: Population (and individual) Experimental Design in R
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:
- latest stable release -- From CRAN. Write at the R command line:
- Latest development version -- from Github. Note that the command below installs the "master"
(development) branch; if you want the release branch from Github add
install_github()approach requires that you build from source, i.e.
makeand compilers must be installed on your system -- see the R FAQ for your operating system; you may also need to install dependencies manually.
To get started you need to define
- A model.
- An initial design (and design space if you want to optimize).
- The tasks to perform.
Learn more in this introduction to PopED
You are welcome to: