{
  "_id": "6a12b1f4acfb0bcc41d1994a",
  "Package": "pksensi",
  "Title": "Global Sensitivity Analysis in Physiologically Based Kinetic\nModeling",
  "Version": "1.4.0.9000",
  "Authors@R": "c(\nperson(given = \"Nan-Hung\",\nfamily = \"Hsieh\",\nrole = c(\"aut\", \"cre\"),\nemail = \"d99622005@ntu.edu.tw\",\ncomment = c(ORCID = \"0000-0003-0163-2766\")),\nperson(given = \"Brad\",\nfamily = \"Reisfeld\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0003-1310-1495\")),\nperson(given = \"Weihsueh A.\",\nfamily =  \"Chiu\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0002-7575-2368\")))",
  "Description": "Applying the global sensitivity analysis workflow to\ninvestigate the parameter uncertainty and sensitivity in\nphysiologically based kinetic (PK) models, especially the\nphysiologically based pharmacokinetic/toxicokinetic model with\nmultivariate outputs. The package also provides some functions\nto check the convergence and sensitivity of model parameters.\nThe workflow was first mentioned in Hsieh et al., (2018)\n<doi:10.3389/fphar.2018.00588>, then further refined (Hsieh et\nal., 2020 <doi:10.1016/j.softx.2020.100609>).",
  "License": "GPL-3 | file LICENSE",
  "URL": "https://github.com/nanhung/pksensi,\nhttps://nanhung.github.io/pksensi/",
  "BugReports": "https://github.com/nanhung/pksensi/issues",
  "VignetteBuilder": "knitr",
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  "RoxygenNote": "7.3.2",
  "Language": "en-US",
  "Roxygen": "list(markdown = TRUE)",
  "Repository": "https://nanhung.r-universe.dev",
  "Date/Publication": "2024-11-27 17:31:55 UTC",
  "RemoteUrl": "https://github.com/nanhung/pksensi",
  "RemoteRef": "HEAD",
  "RemoteSha": "a775203eab90fa09059fde7190396d730ae04351",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-24 08:05:18 UTC",
    "User": "root"
  },
  "Author": "Nan-Hung Hsieh [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-0163-2766>),\nBrad Reisfeld [ctb] (ORCID: <https://orcid.org/0000-0003-1310-1495>),\nWeihsueh A. Chiu [ctb] (ORCID: <https://orcid.org/0000-0002-7575-2368>)",
  "Maintainer": "Nan-Hung Hsieh <d99622005@ntu.edu.tw>",
  "MD5sum": "2045c3fd3e466af836d341311b812650",
  "_user": "nanhung",
  "_type": "src",
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  "_created": "2026-05-24T08:05:18.000Z",
  "_published": "2026-05-24T08:08:20.077Z",
  "_distro": "noble",
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  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/nanhung/pksensi",
  "_commit": {
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    "author": "Nan-Hung Hsieh <d99622005@ntu.edu.tw>",
    "committer": "Nan-Hung Hsieh <d99622005@ntu.edu.tw>",
    "message": "add COC and supporting docs\n",
    "time": 1732728715
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  "_maintainer": {
    "name": "Nan-Hung Hsieh",
    "email": "d99622005@ntu.edu.tw",
    "login": "nanhung",
    "orcid": "0000-0003-0163-2766",
    "description": "Toxicologist / Health Risk Assessment",
    "uuid": 25087463
  },
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  "_dependencies": [
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      "version": ">= 4.1",
      "role": "Depends"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
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      "role": "Imports"
    },
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      "package": "foreach",
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    },
    {
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    },
    {
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    },
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  "_owner": "nanhung",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_topics": [
    "gnu-mcsim",
    "pharmacokinetics",
    "sensitivity",
    "sensitivity-analysis"
  ],
  "_stars": 5,
  "_contributors": [
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      "user": "nanhung",
      "count": 98,
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    "type": "user",
    "name": "Nan-Hung Hsieh",
    "description": "Toxicologist / Health Risk Assessment"
  },
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  "_pkgdown": "https://nanhung.github.io/pksensi/",
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/pksensi.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/nanhung/pksensi",
  "_realowner": "nanhung",
  "_cranurl": true,
  "_releases": [
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      "version": "1.0.0",
      "date": "2018-10-30"
    },
    {
      "version": "1.0.1",
      "date": "2019-01-29"
    },
    {
      "version": "1.1.0",
      "date": "2019-05-12"
    },
    {
      "version": "1.1.1",
      "date": "2019-05-29"
    },
    {
      "version": "1.1.2",
      "date": "2019-06-30"
    },
    {
      "version": "1.1.3",
      "date": "2019-08-20"
    },
    {
      "version": "1.1.4",
      "date": "2019-09-19"
    },
    {
      "version": "1.1.5",
      "date": "2020-02-05"
    },
    {
      "version": "1.1.6",
      "date": "2020-05-05"
    },
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      "date": "2020-05-08"
    },
    {
      "version": "1.2.0",
      "date": "2020-06-15"
    },
    {
      "version": "1.2.1",
      "date": "2021-06-18"
    },
    {
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      "date": "2021-07-04"
    },
    {
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      "date": "2022-09-21"
    }
  ],
  "_exports": [
    "check",
    "compile_model",
    "FFPK",
    "generate_infile",
    "heat_check",
    "mcsim_install",
    "mcsim_version",
    "pbpk_apap_model",
    "pbtk1cpt_model",
    "pksim",
    "rfast99",
    "set_rtools40_path",
    "solve_fun",
    "solve_mcsim",
    "tell2"
  ],
  "_datasets": [
    {
      "name": "APAP",
      "title": "Pharmacokinetic Dataset of Acetaminophen",
      "object": "APAP",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Wt",
        "Time",
        "APAP",
        "AG",
        "AS",
        "Study",
        "Dose"
      ],
      "rows": 32,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "about-pksensi",
      "title": "About 'pksensi' package",
      "topics": [
        "pksensi-package",
        "about-pksensi"
      ]
    },
    {
      "page": "APAP",
      "title": "Pharmacokinetic Dataset of Acetaminophen",
      "topics": [
        "APAP"
      ]
    },
    {
      "page": "check",
      "title": "Check the Parameter Sensitivity",
      "topics": [
        "check",
        "heat_check",
        "plot.rfast99",
        "print.rfast99"
      ]
    },
    {
      "page": "compile_model",
      "title": "Model Compiler",
      "topics": [
        "compile_model"
      ]
    },
    {
      "page": "mcsim",
      "title": "Download and install 'GNU MCSim'",
      "topics": [
        "mcsim_install",
        "mcsim_version",
        "set_rtools40_path"
      ]
    },
    {
      "page": "models",
      "title": "Example PK Model for Sensitivity Analysis",
      "topics": [
        "FFPK",
        "models",
        "pbpk_apap_model",
        "pbtk1cpt_model"
      ]
    },
    {
      "page": "pksim",
      "title": "PK Simulation from Sampling Parameter",
      "topics": [
        "pksim"
      ]
    },
    {
      "page": "rfast99",
      "title": "Extended Fourier Amplitude Sensitivity Test with Random Phase Shift",
      "topics": [
        "rfast99"
      ]
    },
    {
      "page": "solve_fun",
      "title": "Solve PK Model Through 'deSolve' Package or Analytical Function",
      "topics": [
        "solve_fun"
      ]
    },
    {
      "page": "solve_mcsim",
      "title": "Solve PK Model Through 'GNU MCSim'",
      "topics": [
        "generate_infile",
        "solve_mcsim"
      ]
    },
    {
      "page": "tell2",
      "title": "The Decoupling Simulations",
      "topics": [
        "tell2"
      ]
    }
  ],
  "_pkglogo": "https://github.com/nanhung/pksensi/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/nanhung/pksensi/raw/HEAD/README.md",
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    "iterators",
    "labeling",
    "lifecycle",
    "R6",
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    "S7",
    "scales",
    "vctrs",
    "viridisLite",
    "withr"
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      "source": "pbpk_apap.Rmd",
      "filename": "pbpk_apap.html",
      "title": "Acetaminophen-PBPK model",
      "author": "Nan-Hung Hsieh",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Prepare and compile the model file",
        "Define the parameter and its distribution",
        "Define additional input condition and output time and variables",
        "Uncertainty analysis",
        "Generate parameter matrix",
        "Conduct the global SA",
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      "created": "2019-01-19 19:12:21",
      "modified": "2022-09-20 23:15:55",
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      "title": "One-compartment PK model",
      "author": "Nan-Hung Hsieh",
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