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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PopED" in publications use:'
type: software
license: LGPL-3.0-or-later
title: 'PopED: Population (and Individual) Optimal Experimental Design'
version: 0.7.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.PopED
abstract: 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) <https://doi.org/10.1016/j.cmpb.2012.05.005>,
  and Foracchia et al. (2004) <https://doi.org/10.1016/S0169-2607(03)00073-7>.
authors:
- family-names: Hooker
  given-names: Andrew C.
  email: andrew.hooker@farmaci.uu.se
  orcid: https://orcid.org/0000-0002-2676-5912
- family-names: Foracchia
  given-names: Marco
- family-names: Ueckert
  given-names: Sebastian
  orcid: https://orcid.org/0000-0002-3712-0255
- family-names: Nyberg
  given-names: Joakim
preferred-citation:
  type: article
  title: 'PopED: An extended, parallelized, nonlinear mixed effects models optimal
    design tool'
  authors:
  - family-names: Nyberg
    given-names: Joakim
  - family-names: Ueckert
    given-names: Sebastian
    orcid: https://orcid.org/0000-0002-3712-0255
  - family-names: Stroemberg
    given-names: Eric A
  - family-names: Hennig
    given-names: Stefanie
  - family-names: Karlsson
    given-names: Mats O
  - family-names: Hooker
    given-names: Andrew C
  journal: Computer Methods and Programs in Biomedicine
  year: '2012'
  volume: '108'
repository: https://CRAN.R-project.org/package=PopED
repository-code: https://github.com/andrewhooker/PopED
url: https://andrewhooker.github.io/PopED/
date-released: '2024-10-07'
contact:
- family-names: Hooker
  given-names: Andrew C.
  email: andrew.hooker@farmaci.uu.se
  orcid: https://orcid.org/0000-0002-2676-5912
references:
- type: article
  title: POPED, a software for optimal experiment design in population kinetics
  authors:
  - family-names: Foracchia
    given-names: Marco
  - family-names: Hooker
    given-names: Andrew C
  - family-names: Vicini
    given-names: Paolo
  - family-names: Ruggeri
    given-names: A
  journal: Computer Methods and Programs in Biomedicine
  year: '2004'
  volume: '74'