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)
- Version0.6.0
- R version≥ 2.14
- LicenseLGPL (≥ 3)
- Needs compilation?No
- Last release05/21/2021
Documentation
Team
Andrew C. Hooker
MaintainerShow author detailsRolesAuthor, Maintainer, Translator, Copyright holder@[email protected]Marco Foracchia
Show author detailsRolesAuthorEric Stroemberg
Show author detailsRolesContributorMartin Fink
Show author detailsRolesContributorGiulia Lestini
Show author detailsRolesContributorSebastian Ueckert
Joakim Nyberg
Show author detailsRolesAuthor
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- Depends1 package
- Imports13 packages
- Suggests14 packages
- Reverse Imports1 package