{
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  "Package": "MCPMod",
  "Type": "Package",
  "Title": "Design and Analysis of Dose-Finding Studies",
  "Version": "1.0-10.1",
  "Date": "2017-08-05",
  "Author": "Bjoern Bornkamp, Jose Pinheiro and Frank Bretz",
  "Maintainer": "Bjoern Bornkamp <bornkamp@statistik.tu-dortmund.de>",
  "Description": "Implements a methodology for the design and analysis of\ndose-response studies that combines aspects of multiple\ncomparison procedures and modeling approaches (Bretz, Pinheiro\nand Branson, 2005, Biometrics 61, 738-748, <doi:\n10.1111/j.1541-0420.2005.00344.x>). The package provides tools\nfor the analysis of dose finding trials as well as a variety of\ntools necessary to plan a trial to be conducted with the\nMCP-Mod methodology. Please note: The 'MCPMod' package will not\nbe further developed, all future development of the MCP-Mod\nmethodology will be done in the 'DoseFinding' R-package.",
  "License": "GPL-3",
  "Packaged": {
    "Date": "2026-05-22 06:39:49 UTC",
    "User": "root"
  },
  "NeedsCompilation": "no",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2020-03-09 14:09:13 UTC",
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    "author": "Bjoern Bornkamp <bornkamp@statistik.tu-dortmund.de>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0-10.1\n",
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    "email": "bornkamp@statistik.tu-dortmund.de"
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    "extra/citation.json",
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    "extra/contents.json",
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    "extra/NEWS.html",
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    "manual.pdf"
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      "date": "2008-04-10"
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    "betaMod",
    "critVal",
    "emax",
    "exponential",
    "fullMod",
    "genDFdata",
    "getPars",
    "guesst",
    "linear",
    "linlog",
    "logistic",
    "LP",
    "MCPMod",
    "modelMeans",
    "mvtnorm.control",
    "planMM",
    "plotModels",
    "powCalc",
    "powerMM",
    "quadratic",
    "sampSize",
    "sigEmax"
  ],
  "_datasets": [
    {
      "name": "biom",
      "title": "Biometrics Dose Response data",
      "object": "biom",
      "file": "biom.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "dose",
        "resp"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "IBS",
      "title": "Irritable Bowel Syndrome Dose Response data",
      "object": "IBS",
      "file": "IBS.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "dose",
        "resp"
      ],
      "rows": 369,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "MCPMod-package",
      "title": "Design and Analysis of Dose-Finding Studies",
      "topics": [
        "MCPMod-package"
      ]
    },
    {
      "page": "betaMod",
      "title": "Beta model",
      "topics": [
        "betaMod"
      ]
    },
    {
      "page": "biom",
      "title": "Biometrics Dose Response data",
      "topics": [
        "biom"
      ]
    },
    {
      "page": "critVal",
      "title": "Calculate critical value for multiple contrast test",
      "topics": [
        "critVal"
      ]
    },
    {
      "page": "emax",
      "title": "Emax model",
      "topics": [
        "emax"
      ]
    },
    {
      "page": "exponential",
      "title": "Exponential (power) model",
      "topics": [
        "exponential"
      ]
    },
    {
      "page": "fullMod",
      "title": "Calculate location and scale parameters for candidate set of models",
      "topics": [
        "fullMod"
      ]
    },
    {
      "page": "genDFdata",
      "title": "Simulate dose-response data",
      "topics": [
        "genDFdata"
      ]
    },
    {
      "page": "getPars",
      "title": "Calculate location and scale parameters",
      "topics": [
        "getPars"
      ]
    },
    {
      "page": "guesst",
      "title": "Calculate guesstimates based on prior knowledge",
      "topics": [
        "guesst"
      ]
    },
    {
      "page": "IBS",
      "title": "Irritable Bowel Syndrome Dose Response data",
      "topics": [
        "IBS"
      ]
    },
    {
      "page": "linear",
      "title": "Linear Model",
      "topics": [
        "linear"
      ]
    },
    {
      "page": "linlog",
      "title": "Linear in log dose Model",
      "topics": [
        "linlog"
      ]
    },
    {
      "page": "logistic",
      "title": "Logistic Model",
      "topics": [
        "logistic"
      ]
    },
    {
      "page": "LP",
      "title": "Sensitivity analysis for misspecification of standardized model parameters",
      "topics": [
        "LP",
        "print.LP"
      ]
    },
    {
      "page": "MCPMod",
      "title": "Perform MCPMod analysis of a data set",
      "topics": [
        "MCPMod",
        "print.MCPMod",
        "print.summary.MCPMod",
        "summary.MCPMod"
      ]
    },
    {
      "page": "modelMeans",
      "title": "Calculate mean vectors for a given candidate set",
      "topics": [
        "modelMeans"
      ]
    },
    {
      "page": "mvtnorm.control",
      "title": "Control options for pmvt and qmvt functions",
      "topics": [
        "mvtnorm.control"
      ]
    },
    {
      "page": "planMM",
      "title": "Calculate planning quantities for MCPMod",
      "topics": [
        "planMM",
        "print.planMM"
      ]
    },
    {
      "page": "plot.fullMod",
      "title": "Plot method for fullMod objects",
      "topics": [
        "plot.fullMod"
      ]
    },
    {
      "page": "plot.LP",
      "title": "Plot method for LP objects",
      "topics": [
        "plot.LP"
      ]
    },
    {
      "page": "plot.MCPMod",
      "title": "Plot MCPMod model fits",
      "topics": [
        "plot.MCPMod"
      ]
    },
    {
      "page": "plot.planMM",
      "title": "Plotting a planMM object",
      "topics": [
        "plot.planMM"
      ]
    },
    {
      "page": "plot.powerMM",
      "title": "Plot method for powerMM objects",
      "topics": [
        "plot.powerMM"
      ]
    },
    {
      "page": "plotModels",
      "title": "Plot candidate models",
      "topics": [
        "plotModels"
      ]
    },
    {
      "page": "powCalc",
      "title": "Calculate the power for the multiple contrast test",
      "topics": [
        "powCalc"
      ]
    },
    {
      "page": "powerMM",
      "title": "Calculate power for different sample sizes",
      "topics": [
        "powerMM"
      ]
    },
    {
      "page": "quadratic",
      "title": "Quadratic model",
      "topics": [
        "quadratic"
      ]
    },
    {
      "page": "sampSize",
      "title": "Sample size calculations for MCPMod",
      "topics": [
        "print.sampSize",
        "sampSize"
      ]
    },
    {
      "page": "sigEmax",
      "title": "Sigmoid Emax Model",
      "topics": [
        "sigEmax"
      ]
    }
  ],
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    "mvtnorm"
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