{
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  "Package": "MCPMod",
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  "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.",
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    "User": "root"
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    "exponential",
    "fullMod",
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    "guesst",
    "linear",
    "linlog",
    "logistic",
    "LP",
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    "mvtnorm.control",
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      "title": "Biometrics Dose Response data",
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      "file": "biom.txt.gz",
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      ],
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        "resp"
      ],
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      "title": "Irritable Bowel Syndrome Dose Response data",
      "object": "IBS",
      "file": "IBS.txt.gz",
      "class": [
        "data.frame"
      ],
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        "dose",
        "resp"
      ],
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      "table": true,
      "tojson": true
    }
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  "_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": [
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      ]
    },
    {
      "page": "IBS",
      "title": "Irritable Bowel Syndrome Dose Response data",
      "topics": [
        "IBS"
      ]
    },
    {
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      "title": "Linear Model",
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      ]
    },
    {
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      "title": "Linear in log dose Model",
      "topics": [
        "linlog"
      ]
    },
    {
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      "title": "Logistic Model",
      "topics": [
        "logistic"
      ]
    },
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      "title": "Sensitivity analysis for misspecification of standardized model parameters",
      "topics": [
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        "print.LP"
      ]
    },
    {
      "page": "MCPMod",
      "title": "Perform MCPMod analysis of a data set",
      "topics": [
        "MCPMod",
        "print.MCPMod",
        "print.summary.MCPMod",
        "summary.MCPMod"
      ]
    },
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      "title": "Calculate mean vectors for a given candidate set",
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      ]
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      "title": "Control options for pmvt and qmvt functions",
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      "topics": [
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        "print.planMM"
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      "title": "Plot method for fullMod objects",
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      "page": "plot.MCPMod",
      "title": "Plot MCPMod model fits",
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      ]
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        "sampSize"
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