{
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  "Package": "nlmixr2data",
  "Title": "Nonlinear Mixed Effects Models in Population PK/PD, Data",
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  "Authors@R": "c(person(\"Matthew\",\"Fidler\",\nrole = c(\"aut\", \"cre\"), email = \"matthew.fidler@gmail.com\",\ncomment=c(ORCID=\"0000-0001-8538-6691\")),\nperson(\"Rik\", \"Schoemaker\",\nrole = \"ctb\", email = \"rik.schoemaker@occams.com\",\ncomment=c(ORCID=\"0000-0002-7538-3005\")),\nperson(\"Kyle\", \"Baron\", role=\"ctb\"),\nperson(\"Thierry\", \"Wendling\", role = \"ctb\"),\nperson(\"Ted\",\"Grasella\", role=\"ctb\"),\nperson(\"C\", \"Weil\", role=\"ctb\"),\nperson(\"Yaning\", \"Wang\", role=\"ctb\"),\nperson(\"R\", \"O'Reilly\", role=\"ctb\"),\nperson(\"David\", \"D'Argenio\", role=\"ctb\"),\nperson(\"\", \"Rodriguez-Vera\", role=\"ctb\"),\nperson(\"D\", \"Gaver\", role=\"ctb\"),\nperson(\"Yuan\", \"Xiong\", role=\"ctb\"),\nperson(\"Wenping\", \"Wang\",\nrole = \"aut\", email = \"wwang8198@gmail.com\")\n)",
  "Description": "Datasets for 'nlmixr2' and 'rxode2'. 'nlmixr2' is used for\nfitting and comparing nonlinear mixed-effects models in\ndifferential equations with flexible dosing information\ncommonly seen in pharmacokinetics and pharmacodynamics\n(Almquist, Leander, and Jirstrand 2015\n<doi:10.1007/s10928-015-9409-1>). Differential equation solving\nis by compiled C code provided in the 'rxode2' package (Wang,\nHallow, and James 2015 <doi:10.1002/psp4.12052>).",
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  "URL": "https://nlmixr2.github.io/nlmixr2data/,\nhttps://github.com/nlmixr2/nlmixr2data/",
  "Repository": "https://nlmixr2.r-universe.dev",
  "Date/Publication": "2024-01-31 19:55:31 UTC",
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  "Author": "Matthew Fidler [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-8538-6691>),\nRik Schoemaker [ctb] (ORCID: <https://orcid.org/0000-0002-7538-3005>),\nKyle Baron [ctb],\nThierry Wendling [ctb],\nTed Grasella [ctb],\nC Weil [ctb],\nYaning Wang [ctb],\nR O'Reilly [ctb],\nDavid D'Argenio [ctb],\nRodriguez-Vera [ctb],\nD Gaver [ctb],\nYuan Xiong [ctb],\nWenping Wang [aut]",
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  "_published": "2026-06-08T06:21:06.989Z",
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      "title": "1 Compartment Model Simulated Data from ACOP 2016",
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