{
  "_id": "6a15664cacfb0bcc41d61d19",
  "Type": "Package",
  "Package": "drda",
  "Title": "Dose-Response Data Analysis",
  "Version": "2.0.5",
  "Authors@R": "c(\nperson(\n\"Alberto\", \"Pessia\", , \"dev@albertopessia.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-8607-9191\")\n),\nperson(\n\"Alina\", \"Malyutina\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0001-8220-5859\")\n)\n)",
  "Description": "Fit logistic functions to observed dose-response\ncontinuous data and evaluate goodness-of-fit measures. See\nMalyutina A., Tang J., and Pessia A. (2023)\n<doi:10.18637/jss.v106.i04>.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/albertopessia/drda",
  "BugReports": "https://github.com/albertopessia/drda/issues",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "Repository": "https://albertopessia.r-universe.dev",
  "Date/Publication": "2025-01-16 09:07:31 UTC",
  "RemoteUrl": "https://github.com/albertopessia/drda",
  "RemoteRef": "HEAD",
  "RemoteSha": "292c047f41f1d795436fb3b99f7da3e58383d209",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-26 09:18:23 UTC",
    "User": "root"
  },
  "Author": "Alberto Pessia [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-8607-9191>),\nAlina Malyutina [ctb] (ORCID: <https://orcid.org/0000-0001-8220-5859>)",
  "Maintainer": "Alberto Pessia <dev@albertopessia.com>",
  "MD5sum": "e9305bea456875c059d35274d7509e40",
  "_user": "albertopessia",
  "_type": "src",
  "_file": "drda_2.0.5.tar.gz",
  "_fileid": "55e13d8e8170dd5400ad4d4b4e72820f0ca455cb8cc76286c105929a57baf63c",
  "_filesize": 975713,
  "_sha256": "55e13d8e8170dd5400ad4d4b4e72820f0ca455cb8cc76286c105929a57baf63c",
  "_created": "2026-05-26T09:18:23.000Z",
  "_published": "2026-05-26T09:22:20.520Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77844140864,
      "time": 194,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7213369807"
    },
    {
      "job": 77844140875,
      "time": 190,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7213368531"
    },
    {
      "job": 77844140830,
      "time": 165,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7213353485"
    },
    {
      "job": 77844140980,
      "time": 201,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7213362228"
    },
    {
      "job": 77843644967,
      "time": 182,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7213301972"
    },
    {
      "job": 77844140811,
      "time": 91,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7213334543"
    },
    {
      "job": 77844140862,
      "time": 192,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7213370501"
    },
    {
      "job": 77844140888,
      "time": 179,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7213364568"
    },
    {
      "job": 77844140899,
      "time": 173,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7213363018"
    }
  ],
  "_buildurl": "https://github.com/r-universe/albertopessia/actions/runs/26443463280",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/albertopessia/drda",
  "_commit": {
    "id": "292c047f41f1d795436fb3b99f7da3e58383d209",
    "author": "Alberto Pessia <albertopessia@users.noreply.github.com>",
    "committer": "Alberto Pessia <albertopessia@users.noreply.github.com>",
    "message": "Prepare for CRAN submission\n",
    "time": 1737018451
  },
  "_maintainer": {
    "name": "Alberto Pessia",
    "email": "dev@albertopessia.com",
    "orcid": "0000-0001-8607-9191"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.6.0",
      "role": "Depends"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "spelling",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.1.0",
      "role": "Suggests"
    }
  ],
  "_owner": "albertopessia",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_topics": [
    "dose-response",
    "logistic-function"
  ],
  "_stars": 12,
  "_contributors": [
    {
      "user": "albertopessia",
      "count": 216,
      "uuid": 2989625
    },
    {
      "user": "garrettjenkinson",
      "count": 1,
      "uuid": 12863507
    }
  ],
  "_userbio": {
    "uuid": 2989625,
    "type": "user",
    "name": "Alberto Pessia",
    "description": "Biostatistician working on clinical trials, survival analysis, dose-response models, and drug combinations. Interested in everything related to technology."
  },
  "_downloads": {
    "count": 300,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/drda"
  },
  "_devurl": "https://github.com/albertopessia/drda",
  "_searchresults": 34,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/drda.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/albertopessia/drda",
  "_realowner": "albertopessia",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0.0",
      "date": "2021-06-10"
    },
    {
      "version": "2.0.0",
      "date": "2022-06-17"
    },
    {
      "version": "2.0.1",
      "date": "2022-07-08"
    },
    {
      "version": "2.0.2",
      "date": "2022-11-25"
    },
    {
      "version": "2.0.3",
      "date": "2023-03-17"
    },
    {
      "version": "2.0.4",
      "date": "2024-08-21"
    },
    {
      "version": "2.0.5",
      "date": "2025-01-17"
    }
  ],
  "_exports": [
    "drda",
    "effective_dose",
    "gompertz_fn",
    "gompertz_gradient",
    "gompertz_gradient_2",
    "gompertz_gradient_hessian",
    "gompertz_gradient_hessian_2",
    "gompertz_hessian",
    "gompertz_hessian_2",
    "loggompertz_fn",
    "loggompertz_gradient",
    "loggompertz_gradient_2",
    "loggompertz_gradient_hessian",
    "loggompertz_gradient_hessian_2",
    "loggompertz_hessian",
    "loggompertz_hessian_2",
    "logistic2_fn",
    "logistic2_gradient",
    "logistic2_gradient_2",
    "logistic2_gradient_hessian",
    "logistic2_gradient_hessian_2",
    "logistic2_hessian",
    "logistic2_hessian_2",
    "logistic4_fn",
    "logistic4_gradient",
    "logistic4_gradient_2",
    "logistic4_gradient_hessian",
    "logistic4_gradient_hessian_2",
    "logistic4_hessian",
    "logistic4_hessian_2",
    "logistic5_fn",
    "logistic5_gradient",
    "logistic5_gradient_2",
    "logistic5_gradient_hessian",
    "logistic5_gradient_hessian_2",
    "logistic5_hessian",
    "logistic5_hessian_2",
    "logistic6_fn",
    "logistic6_gradient",
    "logistic6_gradient_2",
    "logistic6_gradient_hessian",
    "logistic6_gradient_hessian_2",
    "logistic6_hessian",
    "logistic6_hessian_2",
    "loglogistic2_fn",
    "loglogistic2_gradient",
    "loglogistic2_gradient_2",
    "loglogistic2_gradient_hessian",
    "loglogistic2_gradient_hessian_2",
    "loglogistic2_hessian",
    "loglogistic2_hessian_2",
    "loglogistic4_fn",
    "loglogistic4_gradient",
    "loglogistic4_gradient_2",
    "loglogistic4_gradient_hessian",
    "loglogistic4_gradient_hessian_2",
    "loglogistic4_hessian",
    "loglogistic4_hessian_2",
    "loglogistic5_fn",
    "loglogistic5_gradient",
    "loglogistic5_gradient_2",
    "loglogistic5_gradient_hessian",
    "loglogistic5_gradient_hessian_2",
    "loglogistic5_hessian",
    "loglogistic5_hessian_2",
    "loglogistic6_fn",
    "loglogistic6_gradient",
    "loglogistic6_gradient_2",
    "loglogistic6_gradient_hessian",
    "loglogistic6_gradient_hessian_2",
    "loglogistic6_hessian",
    "loglogistic6_hessian_2",
    "naac",
    "nauc"
  ],
  "_datasets": [
    {
      "name": "voropm2",
      "title": "Vorinostat in OPM-2 cell-line dataset",
      "object": "voropm2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "response",
        "dose",
        "log_dose",
        "weight"
      ],
      "rows": 45,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "drda",
      "title": "Fit non-linear growth curves",
      "topics": [
        "drda"
      ]
    },
    {
      "page": "effective_dose",
      "title": "Effective dose",
      "topics": [
        "effective_dose"
      ]
    },
    {
      "page": "gompertz_fn",
      "title": "Gompertz function",
      "topics": [
        "gompertz_fn"
      ]
    },
    {
      "page": "gompertz_gradient",
      "title": "Gompertz function gradient and Hessian",
      "topics": [
        "gompertz_gradient",
        "gompertz_gradient_hessian",
        "gompertz_hessian"
      ]
    },
    {
      "page": "gompertz_gradient_2",
      "title": "Gompertz function gradient and Hessian",
      "topics": [
        "gompertz_gradient_2",
        "gompertz_gradient_hessian_2",
        "gompertz_hessian_2"
      ]
    },
    {
      "page": "loggompertz_fn",
      "title": "log-Gompertz function",
      "topics": [
        "loggompertz_fn"
      ]
    },
    {
      "page": "loggompertz_gradient",
      "title": "Log-Gompertz function gradient and Hessian",
      "topics": [
        "loggompertz_gradient",
        "loggompertz_gradient_hessian",
        "loggompertz_hessian"
      ]
    },
    {
      "page": "loggompertz_gradient_2",
      "title": "Log-Gompertz function gradient and Hessian",
      "topics": [
        "loggompertz_gradient_2",
        "loggompertz_gradient_hessian_2",
        "loggompertz_hessian_2"
      ]
    },
    {
      "page": "logistic2_fn",
      "title": "2-parameter logistic function",
      "topics": [
        "logistic2_fn"
      ]
    },
    {
      "page": "logistic2_gradient",
      "title": "2-parameter logistic function gradient and Hessian",
      "topics": [
        "logistic2_gradient",
        "logistic2_gradient_hessian",
        "logistic2_hessian"
      ]
    },
    {
      "page": "logistic2_gradient_2",
      "title": "2-parameter logistic function gradient and Hessian",
      "topics": [
        "logistic2_gradient_2",
        "logistic2_gradient_hessian_2",
        "logistic2_hessian_2"
      ]
    },
    {
      "page": "logistic4_fn",
      "title": "4-parameter logistic function",
      "topics": [
        "logistic4_fn"
      ]
    },
    {
      "page": "logistic4_gradient",
      "title": "4-parameter logistic function gradient and Hessian",
      "topics": [
        "logistic4_gradient",
        "logistic4_gradient_hessian",
        "logistic4_hessian"
      ]
    },
    {
      "page": "logistic4_gradient_2",
      "title": "4-parameter logistic function gradient and Hessian",
      "topics": [
        "logistic4_gradient_2",
        "logistic4_gradient_hessian_2",
        "logistic4_hessian_2"
      ]
    },
    {
      "page": "logistic5_fn",
      "title": "5-parameter logistic function",
      "topics": [
        "logistic5_fn"
      ]
    },
    {
      "page": "logistic5_gradient",
      "title": "5-parameter logistic function gradient and Hessian",
      "topics": [
        "logistic5_gradient",
        "logistic5_gradient_hessian",
        "logistic5_hessian"
      ]
    },
    {
      "page": "logistic5_gradient_2",
      "title": "5-parameter logistic function gradient and Hessian",
      "topics": [
        "logistic5_gradient_2",
        "logistic5_gradient_hessian_2",
        "logistic5_hessian_2"
      ]
    },
    {
      "page": "logistic6_fn",
      "title": "6-parameter logistic function",
      "topics": [
        "logistic6_fn"
      ]
    },
    {
      "page": "logistic6_gradient",
      "title": "6-parameter logistic function gradient and Hessian",
      "topics": [
        "logistic6_gradient",
        "logistic6_gradient_hessian",
        "logistic6_hessian"
      ]
    },
    {
      "page": "logistic6_gradient_2",
      "title": "6-parameter logistic function gradient and Hessian",
      "topics": [
        "logistic6_gradient_2",
        "logistic6_gradient_hessian_2",
        "logistic6_hessian_2"
      ]
    },
    {
      "page": "loglogistic2_fn",
      "title": "2-parameter log-logistic function",
      "topics": [
        "loglogistic2_fn"
      ]
    },
    {
      "page": "loglogistic2_gradient",
      "title": "2-parameter log-logistic function gradient and Hessian",
      "topics": [
        "loglogistic2_gradient",
        "loglogistic2_gradient_hessian",
        "loglogistic2_hessian"
      ]
    },
    {
      "page": "loglogistic2_gradient_2",
      "title": "2-parameter log-logistic function gradient and Hessian",
      "topics": [
        "loglogistic2_gradient_2",
        "loglogistic2_gradient_hessian_2",
        "loglogistic2_hessian_2"
      ]
    },
    {
      "page": "loglogistic4_fn",
      "title": "4-parameter log-logistic function",
      "topics": [
        "loglogistic4_fn"
      ]
    },
    {
      "page": "loglogistic4_gradient",
      "title": "4-parameter log-logistic function gradient and Hessian",
      "topics": [
        "loglogistic4_gradient",
        "loglogistic4_gradient_hessian",
        "loglogistic4_hessian"
      ]
    },
    {
      "page": "loglogistic4_gradient_2",
      "title": "4-parameter log-logistic function gradient and Hessian",
      "topics": [
        "loglogistic4_gradient_2",
        "loglogistic4_gradient_hessian_2",
        "loglogistic4_hessian_2"
      ]
    },
    {
      "page": "loglogistic5_fn",
      "title": "5-parameter log-logistic function",
      "topics": [
        "loglogistic5_fn"
      ]
    },
    {
      "page": "loglogistic5_gradient",
      "title": "5-parameter log-logistic function gradient and Hessian",
      "topics": [
        "loglogistic5_gradient",
        "loglogistic5_gradient_hessian",
        "loglogistic5_hessian"
      ]
    },
    {
      "page": "loglogistic5_gradient_2",
      "title": "5-parameter log-logistic function gradient and Hessian",
      "topics": [
        "loglogistic5_gradient_2",
        "loglogistic5_gradient_hessian_2",
        "loglogistic5_hessian_2"
      ]
    },
    {
      "page": "loglogistic6_fn",
      "title": "6-parameter log-logistic function",
      "topics": [
        "loglogistic6_fn"
      ]
    },
    {
      "page": "loglogistic6_gradient",
      "title": "6-parameter log-logistic function gradient and Hessian",
      "topics": [
        "loglogistic6_gradient",
        "loglogistic6_gradient_hessian",
        "loglogistic6_hessian"
      ]
    },
    {
      "page": "loglogistic6_gradient_2",
      "title": "6-parameter log-logistic function gradient and Hessian",
      "topics": [
        "loglogistic6_gradient_2",
        "loglogistic6_gradient_hessian_2",
        "loglogistic6_hessian_2"
      ]
    },
    {
      "page": "naac",
      "title": "Area above the curve",
      "topics": [
        "naac"
      ]
    },
    {
      "page": "nauc",
      "title": "Area under the curve",
      "topics": [
        "nauc"
      ]
    },
    {
      "page": "plot.drda",
      "title": "Model fit plotting",
      "topics": [
        "plot.drda"
      ]
    },
    {
      "page": "voropm2",
      "title": "Vorinostat in OPM-2 cell-line dataset",
      "topics": [
        "voropm2"
      ]
    }
  ],
  "_readme": "https://github.com/albertopessia/drda/raw/HEAD/README.md",
  "_rundeps": [],
  "_vignettes": [
    {
      "source": "drda.Rtex",
      "filename": "drda.pdf",
      "title": "drda: An R package for dose-response data analysis using logistic functions",
      "engine": "knitr::knitr",
      "headings": [],
      "created": "2021-06-08 09:33:04",
      "modified": "2023-02-08 12:59:52",
      "commits": 12
    }
  ],
  "_score": 5.309630167425899,
  "_indexed": true,
  "_nocasepkg": "drda",
  "_universes": [
    "albertopessia"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.0.5",
      "date": "2026-05-26T09:20:31.000Z",
      "distro": "noble",
      "commit": "292c047f41f1d795436fb3b99f7da3e58383d209",
      "fileid": "63740ee05a3913626f5a1640ffd5f346bc7063aaef2d00b56b86481b79cc28c1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/albertopessia/actions/runs/26443463280"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "2.0.5",
      "date": "2026-05-26T09:20:26.000Z",
      "distro": "noble",
      "commit": "292c047f41f1d795436fb3b99f7da3e58383d209",
      "fileid": "2a36c384e8fbb238afc383f8b2f99876481d65f35bd5816d80623d637e4bb2e4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/albertopessia/actions/runs/26443463280"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "2.0.5",
      "date": "2026-05-26T09:20:24.000Z",
      "commit": "292c047f41f1d795436fb3b99f7da3e58383d209",
      "fileid": "47c29cc00e14d296a71140a048dd917cb7b4fec52946e9bdf959ee1b7e07da0c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/albertopessia/actions/runs/26443463280"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "2.0.5",
      "date": "2026-05-26T09:20:38.000Z",
      "commit": "292c047f41f1d795436fb3b99f7da3e58383d209",
      "fileid": "987cde9628ebda152d9847d1480e995b16bacad958902d4ad8781bdb020ae7fc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/albertopessia/actions/runs/26443463280"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.0.5",
      "date": "2026-05-26T09:20:17.000Z",
      "commit": "292c047f41f1d795436fb3b99f7da3e58383d209",
      "fileid": "d1a61d962530e95ae321b5216b17e43f637cdfcc5c1d2db5f50f8b6d9ac52ee7",
      "status": "success",
      "buildurl": "https://github.com/r-universe/albertopessia/actions/runs/26443463280"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "2.0.5",
      "date": "2026-05-26T09:20:01.000Z",
      "commit": "292c047f41f1d795436fb3b99f7da3e58383d209",
      "fileid": "80b9618bc39a146c2cb04fdc5a072d94c416742061dcf711ffccdabb802c5120",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/albertopessia/actions/runs/26443463280"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "2.0.5",
      "date": "2026-05-26T09:19:49.000Z",
      "commit": "292c047f41f1d795436fb3b99f7da3e58383d209",
      "fileid": "1b77557fc8239e507c63ae5948e686a0244185be9d9f2bfac115e1d8afb7234c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/albertopessia/actions/runs/26443463280"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "2.0.5",
      "date": "2026-05-26T09:19:40.000Z",
      "commit": "292c047f41f1d795436fb3b99f7da3e58383d209",
      "fileid": "88af989bf992f336ef42439fd7a69b73006d8c111dbfcf99ae1f38da897b85c1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/albertopessia/actions/runs/26443463280"
    }
  ]
}