{
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  "Package": "Rgof",
  "Title": "1d Goodness of Fit Tests",
  "Version": "3.3.0",
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  "Description": "Routines that allow the user to run a large number of\ngoodness-of-fit tests. It allows for data to be continuous or\ndiscrete. It includes routines to estimate the power of the\ntests and display them as a power graph. The routine\nrun.studies allows a user to quickly study the power of a new\nmethod and how it compares to some of the standard ones.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.2",
  "VignetteBuilder": "knitr",
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    "Date": "2026-07-11 07:39:32 UTC",
    "User": "root"
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  "Author": "Wolfgang Rolke [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-3514-726X>)",
  "Maintainer": "Wolfgang Rolke <wolfgang.rolke@upr.edu>",
  "Repository": "https://wolfgangrolke.r-universe.dev",
  "Date/Publication": "2025-06-16 18:30:02 UTC",
  "RemoteUrl": "https://github.com/cran/Rgof",
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  "_created": "2026-07-11T07:39:32.000Z",
  "_published": "2026-07-11T07:46:24.794Z",
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      "package": "rmarkdown",
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    "followers": 3
  },
  "_downloads": {
    "count": 296,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/Rgof"
  },
  "_searchresults": 3,
  "_topics": [
    "cpp"
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  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/Rgof.html",
    "manual.pdf"
  ],
  "_realowner": "wolfgangrolke",
  "_cranurl": false,
  "_releases": [
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      "version": "1.0.1",
      "date": "2023-03-24"
    },
    {
      "version": "1.1.0",
      "date": "2023-04-19"
    },
    {
      "version": "1.2.1",
      "date": "2023-10-21"
    },
    {
      "version": "1.2.2",
      "date": "2023-10-30"
    },
    {
      "version": "2.1.0",
      "date": "2024-10-08"
    },
    {
      "version": "2.1.1",
      "date": "2024-10-21"
    },
    {
      "version": "3.0.0",
      "date": "2025-02-01"
    },
    {
      "version": "3.1.0",
      "date": "2025-03-13"
    },
    {
      "version": "3.2.0",
      "date": "2025-04-27"
    },
    {
      "version": "3.3.0",
      "date": "2025-06-16"
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  ],
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    "gof_power",
    "gof_test",
    "gof_test_adjusted_pvalue",
    "newTSdisc",
    "plot_power",
    "run.studies",
    "test_methods",
    "timecheck"
  ],
  "_datasets": [
    {
      "name": "power_studies_results",
      "title": "power_studies_results",
      "object": "power_studies_results",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "pvaluecdf",
      "title": "pvaluecdf",
      "object": "pvaluecdf",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "z",
        "y1",
        "y2"
      ],
      "rows": 250,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "case.studies",
      "title": "This function creates the functions needed to run the various case studies.",
      "topics": [
        "case.studies"
      ]
    },
    {
      "page": "check.functions",
      "title": "This function checks whether the inputs have the correct format",
      "topics": [
        "check.functions"
      ]
    },
    {
      "page": "chi_power_cont",
      "title": "This function finds the power of various chi-square tests for continuous data",
      "topics": [
        "chi_power_cont"
      ]
    },
    {
      "page": "chi_power_disc",
      "title": "This function finds the power of various chi-square tests for continuous data",
      "topics": [
        "chi_power_disc"
      ]
    },
    {
      "page": "chi_test_cont",
      "title": "This function performs a number of chi-square gof tests for continuous data",
      "topics": [
        "chi_test_cont"
      ]
    },
    {
      "page": "chi_test_disc",
      "title": "This function performs a number of chi-square gof tests for continuous data",
      "topics": [
        "chi_test_disc"
      ]
    },
    {
      "page": "gof_power",
      "title": "Power estimation of goodness-of-fit tests.",
      "topics": [
        "gof_power"
      ]
    },
    {
      "page": "gof_test",
      "title": "Tests for the univariate goodness-of-fit problem",
      "topics": [
        "gof_test"
      ]
    },
    {
      "page": "gof_test_adjusted_pvalue",
      "title": "Adjusted p values for simultaneous testing in the goodness-of-fit problem.",
      "topics": [
        "gof_test_adjusted_pvalue"
      ]
    },
    {
      "page": "make_bins_cont",
      "title": "This function creates several type of bins for continuous data",
      "topics": [
        "make_bins_cont"
      ]
    },
    {
      "page": "make_bins_disc",
      "title": "This function creates several types of bins for discrete data",
      "topics": [
        "make_bins_disc"
      ]
    },
    {
      "page": "newTSdisc",
      "title": "a local function needed for the vignette",
      "topics": [
        "newTSdisc"
      ]
    },
    {
      "page": "plot_power",
      "title": "This function draws the power graph, with curves sorted by the mean power and smoothed for easier reading.",
      "topics": [
        "plot_power"
      ]
    },
    {
      "page": "power_newtest",
      "title": "This function estimates the power of test routines that calculate p value(s)",
      "topics": [
        "power_newtest"
      ]
    },
    {
      "page": "power_studies_results",
      "title": "power_studies_results",
      "topics": [
        "power_studies_results"
      ]
    },
    {
      "page": "pvaluecdf",
      "title": "pvaluecdf",
      "topics": [
        "pvaluecdf"
      ]
    },
    {
      "page": "run.studies",
      "title": "Power Comparisons",
      "topics": [
        "run.studies"
      ]
    },
    {
      "page": "signif.digits",
      "title": "This function does some rounding to nice numbers",
      "topics": [
        "signif.digits"
      ]
    },
    {
      "page": "timecheck",
      "title": "estimate run time function",
      "topics": [
        "timecheck"
      ]
    },
    {
      "page": "TS_cont",
      "title": "Find test statistics for continuous data",
      "topics": [
        "TS_cont"
      ]
    },
    {
      "page": "TS_disc",
      "title": "Find test statistics for discrete data",
      "topics": [
        "TS_disc"
      ]
    }
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    "cpp11",
    "farver",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "labeling",
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    "vctrs",
    "viridisLite",
    "withr"
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    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
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  ],
  "_vignettes": [
    {
      "source": "Rgof.Rmd",
      "filename": "Rgof.html",
      "title": "R Package Rgof",
      "engine": "knitr::rmarkdown",
      "headings": [
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        "Testing",
        "Discrete (Histogram) Data/Model",
        "Simple Null Hypothesis",
        "Random Sample Size",
        "Composite Null Hypothesis",
        "Histogram Data",
        "Continuous Data",
        "Simple Hypothesis",
        "Composite Hypothesis - One Parameter",
        "Composite Hypothesis - Multiple Parameters",
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        "Adjusted p values for Several Tests",
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