{
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  "Package": "MCPModGeneral",
  "Title": "A Supplement to the 'DoseFinding' Package for the General Case",
  "Version": "0.1-3",
  "Authors@R": "c(person(given = \"Ian\",\nfamily = \"Laga\",\nrole = c(\"aut\", \"cre\"),\nemail = \"ilaga25@gmail.com\"),\nperson(given = \"Francis\",\nfamily = \"Boateng\",\nrole = c(\"aut\")))",
  "Description": "Analyzes non-normal data via the Multiple Comparison\nProcedures and Modeling approach (MCP-Mod). Many functions rely\non the 'DoseFinding' package. This package makes it so the user\ndoes not need to provide or calculate the mu vector and S\nmatrix. Instead, the user typically supplies the data in its\nraw form, and this package will calculate the needed objects\nand passes them into the 'DoseFinding' functions. If the user\nwishes to primarily use the functions provided in the\n'DoseFinding' package, a singular function (prepareGen()) will\nprovide mu and S. The package currently handles power analysis\nand the MCP-Mod procedure for negative binomial, Poisson, and\nbinomial data. The MCP-Mod procedure can also be applied to\nsurvival data, but power analysis is not available. Bretz, F.,\nPinheiro, J. C., and Branson, M. (2005)\n<doi:10.1111/j.1541-0420.2005.00344.x>. Buckland, S. T.,\nBurnham, K. P. and Augustin, N. H. (1997)\n<doi:10.2307/2533961>. Pinheiro, J. C., Bornkamp, B., Glimm, E.\nand Bretz, F. (2014) <doi:10.1002/sim.6052>.",
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  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.2",
  "VignetteBuilder": "knitr",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-21 10:11:42 UTC",
    "User": "root"
  },
  "Author": "Ian Laga [aut, cre], Francis Boateng [aut]",
  "Maintainer": "Ian Laga <ilaga25@gmail.com>",
  "Repository": "https://ilaga.r-universe.dev",
  "Date/Publication": "2024-08-30 02:51:33 UTC",
  "RemoteUrl": "https://github.com/cran/MCPModGeneral",
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    "message": "version 0.1-3\n",
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      "package": "DoseFinding",
      "role": "Depends"
    },
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      "role": "Imports"
    },
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      "package": "MASS",
      "role": "Imports"
    },
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    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MCPModGeneral"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "extra/readme.html",
    "extra/readme.md",
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  "_realowner": "ilaga",
  "_cranurl": false,
  "_releases": [
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      "version": "0.1-0",
      "date": "2019-08-28"
    },
    {
      "version": "0.1-1",
      "date": "2020-02-19"
    },
    {
      "version": "0.1-2",
      "date": "2024-08-26"
    },
    {
      "version": "0.1-3",
      "date": "2024-08-29"
    }
  ],
  "_exports": [
    "MCPModGen",
    "MCPModSurv",
    "planModPrepare",
    "powMCTGen",
    "prepareGen",
    "sampSizeMCTGen",
    "simS"
  ],
  "_help": [
    {
      "page": "MCPModGeneral-package",
      "title": "A Supplement to the 'DoseFinding' Package for the General Case",
      "topics": [
        "MCPModGeneral-package",
        "MCPModGeneral"
      ]
    },
    {
      "page": "MCPModGen",
      "title": "MCPModGen - Multiple Comparison and Modeling (General Case)",
      "topics": [
        "MCPModGen"
      ]
    },
    {
      "page": "MCPModSurv",
      "title": "MCPModSurv - Multiple Comparison and Modeling for Coxph and Parametric Survival Models",
      "topics": [
        "MCPModSurv"
      ]
    },
    {
      "page": "planModPrepare",
      "title": "Return the S Matrix for a Theoretical DR-Curve",
      "topics": [
        "planModPrepare"
      ]
    },
    {
      "page": "powMCTGen",
      "title": "Calculate Power for Multiple Contrast Test (General Case)",
      "topics": [
        "powMCTGen"
      ]
    },
    {
      "page": "prepareGen",
      "title": "Prepare General Data for the MCPMod Function",
      "topics": [
        "prepareGen"
      ]
    },
    {
      "page": "sampSizeMCTGen",
      "title": "Sample Size Calculations (General Case)",
      "topics": [
        "sampSizeMCTGen"
      ]
    },
    {
      "page": "simS",
      "title": "Covariance Matrix Simulation",
      "topics": [
        "simS"
      ]
    }
  ],
  "_readme": "https://github.com/cran/MCPModGeneral/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "cpp11",
    "DoseFinding",
    "farver",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "labeling",
    "lattice",
    "lifecycle",
    "MASS",
    "mvtnorm",
    "R6",
    "RColorBrewer",
    "rlang",
    "S7",
    "scales",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_vignettes": [
    {
      "source": "MCPModGeneral-Vignette.Rmd",
      "filename": "MCPModGeneral-Vignette.html",
      "title": "MCPModGeneral Vignette",
      "author": "Ian Laga",
      "engine": "knitr::knitr",
      "headings": [
        "1 Introduction",
        "2 Exploratory Stage",
        "2.1 Power Calculation",
        "Using the \"arm\" Ntype",
        "Using the \"total\" Ntype",
        "Using the \"actual\" Ntype",
        "2.2 Sample Size Calculations",
        "3 Data Analysis Stage",
        "3.1 Binomial Data",
        "3.2 Negative Binomial Data",
        "Additional Covariates",
        "Relative Risk",
        "Conclusion"
      ],
      "created": "2019-08-28 11:10:02",
      "modified": "2024-08-30 02:51:33",
      "commits": 3
    }
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  "_nocasepkg": "mcpmodgeneral",
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