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  "Title": "Population (and Individual) Optimal Experimental Design",
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  "Description": "Optimal experimental designs for both population and\nindividual studies based on nonlinear mixed-effect models.\nOften this is based on a computation of the Fisher Information\nMatrix. This package was developed for pharmacometric problems,\nand examples and predefined models are available for these\ntypes of systems. The methods are described in Nyberg et al.\n(2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al.\n(2004) <doi:10.1016/S0169-2607(03)00073-7>.",
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  "URL": "https://andrewhooker.github.io/PopED/,\nhttps://github.com/andrewhooker/PopED",
  "BugReports": "https://github.com/andrewhooker/PopED/issues",
  "Copyright": "2014-2021 Andrew C. Hooker",
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  "Repository": "https://andrewhooker.r-universe.dev",
  "Date/Publication": "2026-05-26 16:43:25 UTC",
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