PopED
Population (and Individual) Optimal Experimental Design
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. 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/S0169-2607(03)00073-7.
- Version0.7.0
- R versionunknown
- LicenseLGPL (≥ 3)
- Needs compilation?No
- PopED citation info
- Last release10/07/2024
Documentation
Team
- Andrew C. Hooker
- Marco ForacchiaShow author detailsRolesAuthor
- Eric StroembergShow author detailsRolesContributor
- Martin FinkShow author detailsRolesContributor
- Giulia LestiniShow author detailsRolesContributor
- Sebastian Ueckert
- Joakim NybergShow author detailsRolesAuthor
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Dependencies
- Imports11 packages
- Suggests14 packages
- Reverse Imports1 package
- Reverse Suggests1 package