{
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  "Package": "DoseFinding",
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  "Title": "Planning and Analyzing Dose Finding Experiments",
  "Version": "1.4-1.9000",
  "Date": "2025-07-08",
  "Authors@R": "c(\nperson(\"Bjoern\", \"Bornkamp\", email = \"bjoern.bornkamp@novartis.com\",\ncomment = c(ORCID = \"0000-0002-6294-8185\"), role = c(\"aut\")),\nperson(\"Jose\", \"Pinheiro\", role = \"aut\"),\nperson(\"Frank\", \"Bretz\", role = \"aut\"),\nperson(\"Ludger\", \"Sandig\", role = \"aut\"),\nperson(\"Marius\", \"Thomas\", role = c(\"aut\", \"cre\"), email = \"marius.thomas@novartis.com\"),\nperson(\"Daniel\", \"Sabanes Bove\", role = \"aut\", email = \"daniel.sabanes_bove@rconis.com\",\ncomment = c(ORCID = \"0000-0002-0176-9239\")),\nperson(given = \"Novartis Pharma AG\", role = c(\"cph\", \"fnd\")))",
  "Maintainer": "Marius Thomas <marius.thomas@novartis.com>",
  "Description": "The DoseFinding package provides functions for the design\nand analysis of dose-finding experiments (with focus on\npharmaceutical Phase II clinical trials). It provides functions\nfor: multiple contrast tests, fitting non-linear dose-response\nmodels (using Bayesian and non-Bayesian estimation),\ncalculating optimal designs and an implementation of the MCPMod\nmethodology (Pinheiro et al. (2014) <doi:10.1002/sim.6052>).",
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  "URL": "https://github.com/openpharma/DoseFinding,\nhttps://openpharma.github.io/DoseFinding/",
  "BugReports": "https://github.com/openpharma/DoseFinding/issues",
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  "Repository": "https://openpharma.r-universe.dev",
  "Date/Publication": "2026-04-14 09:33:09 UTC",
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  "Author": "Bjoern Bornkamp [aut] (ORCID: <https://orcid.org/0000-0002-6294-8185>),\nJose Pinheiro [aut],\nFrank Bretz [aut],\nLudger Sandig [aut],\nMarius Thomas [aut, cre],\nDaniel Sabanes Bove [aut] (ORCID:\n<https://orcid.org/0000-0002-0176-9239>),\nNovartis Pharma AG [cph, fnd]",
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  "_created": "2026-05-14T09:23:20.000Z",
  "_published": "2026-05-22T08:35:48.608Z",
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    "TD"
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      "title": "Biometrics Dose Response data",
      "object": "biom",
      "file": "biom.rda",
      "class": [
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      ],
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      "object": "IBScovars",
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      "object": "migraine",
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      "class": [
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      "object": "neurodeg",
      "file": "neurodeg.rda",
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        "id",
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        "time"
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  "_help": [
    {
      "page": "DoseFinding-package",
      "title": "DoseFinding: Planning and Analyzing Dose Finding Experiments",
      "topics": [
        "DoseFinding-package",
        "DoseFinding"
      ]
    },
    {
      "page": "bFitMod",
      "title": "Fit a dose-response model using Bayesian or bootstrap methods.",
      "topics": [
        "bFitMod",
        "coef.bFitMod",
        "plot.bFitMod",
        "predict.bFitMod"
      ]
    },
    {
      "page": "biom",
      "title": "Biometrics Dose Response data",
      "topics": [
        "biom"
      ]
    },
    {
      "page": "bMCTtest",
      "title": "Performs Bayesian multiple contrast test",
      "topics": [
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      ]
    },
    {
      "page": "critVal",
      "title": "Calculate critical value for multiple contrast test",
      "topics": [
        "critVal"
      ]
    },
    {
      "page": "defBnds",
      "title": "Calculates default bounds for non-linear parameters in dose-response models",
      "topics": [
        "defBnds"
      ]
    },
    {
      "page": "DesignMCPModApp",
      "title": "Start externally hosted DesignMCPMod Shiny App",
      "topics": [
        "DesignMCPModApp"
      ]
    },
    {
      "page": "drmodels",
      "title": "Built-in dose-response models in DoseFinding",
      "topics": [
        "betaMod",
        "betaModGrad",
        "drmodels",
        "emax",
        "emaxGrad",
        "exponential",
        "exponentialGrad",
        "linear",
        "linearGrad",
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        "linlogGrad",
        "logistic",
        "logisticGrad",
        "quadratic",
        "quadraticGrad",
        "sigEmax",
        "sigEmaxGrad"
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      "title": "Fit non-linear dose-response model",
      "topics": [
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        "coef.DRMod",
        "fitMod",
        "gAIC",
        "gAIC.DRMod",
        "logLik.DRMod",
        "plot.DRMod",
        "predict.DRMod",
        "vcov.DRMod"
      ]
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    {
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      "title": "Glycopyrronium Bromide dose-response data",
      "topics": [
        "glycobrom"
      ]
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    {
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      "title": "Calculate guesstimates based on prior knowledge",
      "topics": [
        "guesst"
      ]
    },
    {
      "page": "IBScovars",
      "title": "Irritable Bowel Syndrome Dose Response data with covariates",
      "topics": [
        "IBScovars"
      ]
    },
    {
      "page": "maFitMod",
      "title": "Fit dose-response models via bootstrap model averaging (bagging)",
      "topics": [
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        "plot.maFit",
        "predict.maFit",
        "print.maFit"
      ]
    },
    {
      "page": "MCPMod",
      "title": "MCPMod - Multiple Comparisons and Modeling",
      "topics": [
        "MCPMod",
        "plot.MCPMod",
        "predict.MCPMod"
      ]
    },
    {
      "page": "MCTpval",
      "title": "Calculate multiplicity adjusted p-values for multiple contrast test",
      "topics": [
        "MCTpval"
      ]
    },
    {
      "page": "MCTtest",
      "title": "Performs multiple contrast test",
      "topics": [
        "MCTtest"
      ]
    },
    {
      "page": "migraine",
      "title": "Migraine Dose Response data",
      "topics": [
        "migraine"
      ]
    },
    {
      "page": "Mods",
      "title": "Define dose-response models",
      "topics": [
        "getResp",
        "Mods",
        "plot.Mods",
        "plotMods"
      ]
    },
    {
      "page": "mvpostmix",
      "title": "Prior to posterior updating for a multivariate normal mixture",
      "topics": [
        "mvpostmix"
      ]
    },
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      "title": "Control options for pmvt and qmvt functions",
      "topics": [
        "mvtnorm-control",
        "mvtnorm.control"
      ]
    },
    {
      "page": "neurodeg",
      "title": "Neurodegenerative disease simulated longitudinal dose-finding data set",
      "topics": [
        "neurodeg"
      ]
    },
    {
      "page": "optContr",
      "title": "Calculate optimal contrasts",
      "topics": [
        "optContr",
        "plot.optContr",
        "plotContr"
      ]
    },
    {
      "page": "optDesign",
      "title": "Function to calculate optimal designs",
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