{
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  "Package": "ISCAM",
  "Title": "Companion to the Book \"Investigating Statistical Concepts,\nApplications, and Methods\"",
  "Version": "1.2.0.9000",
  "Authors@R": "c(\nperson(\"Beth\", \"Chance\", , \"bchance@calpoly.edu\", role = c(\"cre\", \"aut\", \"cph\")),\nperson(\"Visruth\", \"Srimath Kandali\", , \"public@visruth.com\", role = \"aut\",\ncomment = c(ORCID = \"0009-0005-9097-0688\"))\n)",
  "Description": "Introductory statistics methods to accompany\n\"Investigating Statistical Concepts, Applications, and Methods\"\n(ISCAM) by Beth Chance & Allan Rossman (2024)\n<https://rossmanchance.com/iscam4/>. Tools to introduce\nstatistical concepts with a focus on simulation approaches.\nFunctions are verbose, designed to provide ample output for\nstudents to understand what each function does. Additionally,\nmost functions are accompanied with plots. The package is\ndesigned to be used in an educational setting alongside the\nISCAM textbook.",
  "License": "MIT + file LICENSE",
  "URL": "https://iscam4.github.io/ISCAM/, https://github.com/ISCAM4/ISCAM",
  "BugReports": "https://github.com/ISCAM4/ISCAM/issues",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "Repository": "https://iscam4.r-universe.dev",
  "Date/Publication": "2026-02-11 21:35:00 UTC",
  "RemoteUrl": "https://github.com/iscam4/iscam",
  "RemoteRef": "HEAD",
  "RemoteSha": "5969db779c6c61dc76f2da6b3099e716545ed264",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-12 08:39:54 UTC",
    "User": "root"
  },
  "Author": "Beth Chance [cre, aut, cph],\nVisruth Srimath Kandali [aut] (ORCID:\n<https://orcid.org/0009-0005-9097-0688>)",
  "Maintainer": "Beth Chance <bchance@calpoly.edu>",
  "MD5sum": "cab7a54befd234665258ab2d4941ee12",
  "_user": "iscam4",
  "_type": "src",
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  "_created": "2026-05-12T08:39:54.000Z",
  "_published": "2026-05-22T10:39:52.282Z",
  "_distro": "noble",
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      "date": "2025-10-07"
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      "date": "2025-10-19"
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    "extra/citation.json",
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  "_realowner": "iscam4",
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    "iscamaddt",
    "iscamaddtnorm",
    "iscambinomnorm",
    "iscambinompower",
    "iscambinomprob",
    "iscambinomtest",
    "iscamboxplot",
    "iscamchisqprob",
    "iscamdotplot",
    "iscamhypernorm",
    "iscamhyperprob",
    "iscaminvbinom",
    "iscaminvnorm",
    "iscaminvt",
    "iscamnormpower",
    "iscamnormprob",
    "iscamonepropztest",
    "iscamonesamplet",
    "iscamsummary",
    "iscamtprob",
    "iscamtwopropztest",
    "iscamtwosamplet"
  ],
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      "title": "Cloud Seeding Data",
      "object": "CloudSeeding",
      "class": [
        "data.frame"
      ],
      "fields": [
        "treatment",
        "rainfall"
      ],
      "rows": 52,
      "table": true,
      "tojson": true
    },
    {
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      "title": "Elephant Walking Data",
      "object": "elephants",
      "class": [
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      ],
      "fields": [
        "Species",
        "Distance"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "FlintMDEQ",
      "title": "Flint Michigan Lead Data",
      "object": "FlintMDEQ",
      "class": [
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        "tbl_df",
        "tbl",
        "data.frame"
      ],
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      ],
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      "table": true,
      "tojson": true
    },
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      "title": "Infant Data",
      "object": "Infant",
      "class": [
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        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "choice"
      ],
      "rows": 16,
      "table": true,
      "tojson": true
    },
    {
      "name": "SleepDeprivation",
      "title": "Sleep Deprivation Data",
      "object": "SleepDeprivation",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "improvement"
      ],
      "rows": 21,
      "table": true,
      "tojson": true
    }
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      "page": "CloudSeeding",
      "title": "Cloud Seeding Data",
      "topics": [
        "CloudSeeding"
      ]
    },
    {
      "page": "Elephants",
      "title": "Elephant Walking Data",
      "topics": [
        "elephants"
      ]
    },
    {
      "page": "FlintMDEQ",
      "title": "Flint Michigan Lead Data",
      "topics": [
        "FlintMDEQ"
      ]
    },
    {
      "page": "Infant",
      "title": "Infant Data",
      "topics": [
        "Infant"
      ]
    },
    {
      "page": "iscamaddexp",
      "title": "Overlay an Exponential Density Function on Histogram",
      "topics": [
        "iscamaddexp"
      ]
    },
    {
      "page": "iscamaddlnorm",
      "title": "Overlay a Log Normal Density Function on Histogram",
      "topics": [
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      ]
    },
    {
      "page": "iscamaddnorm",
      "title": "Overlay a Normal Density Function on Histogram",
      "topics": [
        "iscamaddnorm"
      ]
    },
    {
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      "title": "Overlay a t Density Function on Histogram",
      "topics": [
        "iscamaddt"
      ]
    },
    {
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      "title": "Overlay a t Density Function and a Normal Density Function on Histogram",
      "topics": [
        "iscamaddtnorm"
      ]
    },
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      "page": "iscambinomnorm",
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      "topics": [
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    },
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      "page": "iscambinompower",
      "title": "Rejection Region for Binomial",
      "topics": [
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    },
    {
      "page": "iscambinomprob",
      "title": "Calculate Binomial Tail Probabilities",
      "topics": [
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      "title": "Exact Binomial Test",
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      "title": "A box plot",
      "topics": [
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      ]
    },
    {
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      "title": "Chi-Square Probability",
      "topics": [
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    },
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      "topics": [
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    {
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      "title": "Hypergeometric p-value and Distribution Overlaid with Normal Distribution",
      "topics": [
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      ]
    },
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      "page": "iscamhyperprob",
      "title": "Hypergeometric p-value and Distribution",
      "topics": [
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      ]
    },
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      "title": "Inverse Binomial Probability",
      "topics": [
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      ]
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      "title": "Inverse Normal Calculation",
      "topics": [
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      "topics": [
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      "title": "Some Summary Statistics",
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      ]
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