{
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  "Package": "binsmooth",
  "Type": "Package",
  "Title": "Generate PDFs and CDFs from Binned Data",
  "Version": "0.2.2",
  "Author": "David J. Hunter and McKalie Drown",
  "Maintainer": "Dave Hunter <dhunter@westmont.edu>",
  "Description": "Provides several methods for generating density functions\nbased on binned data. Methods include step function, recursive\nsubdivision, and optimized spline. Data are assumed to be\nnonnegative, the top bin is assumed to have no upper bound, but\nthe bin widths need be equal. All PDF smoothing methods\nmaintain the areas specified by the binned data. (Equivalently,\nall CDF smoothing methods interpolate the points specified by\nthe binned data.) In practice, an estimate for the mean of the\ndistribution should be supplied as an optional argument. Doing\nso greatly improves the reliability of statistics computed from\nthe smoothed density functions. Includes methods for estimating\nthe Gini coefficient, the Theil index, percentiles, and random\ndeviates from a smoothed distribution. Among the three methods,\nthe optimized spline (splinebins) is recommended for most\npurposes. The percentile and random-draw methods should be\nregarded as experimental, and these methods only support\nsplinebins.",
  "License": "MIT + file LICENSE",
  "LazyData": "TRUE",
  "NeedsCompilation": "no",
  "RoxygenNote": "6.1.1",
  "Packaged": {
    "Date": "2026-05-15 08:48:19 UTC",
    "User": "root"
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  "Repository": "https://djhunter.r-universe.dev",
  "Date/Publication": "2020-03-11 20:40:03 UTC",
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  "_buildurl": "https://github.com/r-universe/djhunter/actions/runs/25908844545",
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    "message": "version 0.2.2\n",
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    "email": "dhunter@westmont.edu",
    "login": "djhunter",
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      "role": "Imports"
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      "role": "Imports"
    },
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      "role": "Imports"
    },
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      "role": "Imports"
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  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
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      "count": 4,
      "uuid": 4453085
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  "_userbio": {
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    "name": "David J. Hunter"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/binsmooth"
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  "_assets": [
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    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "manual.pdf"
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  "_realowner": "djhunter",
  "_cranurl": false,
  "_releases": [
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      "date": "2016-08-12"
    },
    {
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      "date": "2019-05-31"
    },
    {
      "version": "0.2.1",
      "date": "2019-10-27"
    },
    {
      "version": "0.2.2",
      "date": "2020-03-11"
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    "gini",
    "rsubbins",
    "rsubbinsNotail",
    "rsubbinsTail",
    "sb_percentiles",
    "sb_sample",
    "simcounty",
    "splinebins",
    "stats_from_distribution",
    "stepbins",
    "stepbinsNotail",
    "stepbinsTail",
    "theil"
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      "name": "county_bins",
      "title": "ACS County Income Data, 2006-2010",
      "object": "county_bins",
      "class": [
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      ],
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        "households",
        "bin_min",
        "bin_max",
        "county",
        "state"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "county_true",
      "title": "ACS County Income Statistics, 2006-2010",
      "object": "county_true",
      "class": [
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      ],
      "fields": [
        "fips",
        "mean_true",
        "median_true",
        "gini_true"
      ],
      "rows": 3221,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "county_bins",
      "title": "ACS County Income Data, 2006-2010",
      "topics": [
        "county_bins"
      ]
    },
    {
      "page": "county_true",
      "title": "ACS County Income Statistics, 2006-2010",
      "topics": [
        "county_true"
      ]
    },
    {
      "page": "gini",
      "title": "Estimate the Gini coefficient",
      "topics": [
        "gini"
      ]
    },
    {
      "page": "rsubbins",
      "title": "Recursive subdivision PDF and CDF fitted to binned data",
      "topics": [
        "rsubbins",
        "rsubbinsNotail",
        "rsubbinsTail"
      ]
    },
    {
      "page": "sb_percentiles",
      "title": "Estimate percentiles from splinebins",
      "topics": [
        "sb_percentiles"
      ]
    },
    {
      "page": "sb_sample",
      "title": "Random sample from splinebins distribution",
      "topics": [
        "sb_sample"
      ]
    },
    {
      "page": "simcounty",
      "title": "Simulate data to mimic 'county_bins' and 'county_true'",
      "topics": [
        "simcounty"
      ]
    },
    {
      "page": "splinebins",
      "title": "Optimized spline PDF and CDF fitted to binned data",
      "topics": [
        "splinebins"
      ]
    },
    {
      "page": "stats_from_distribution",
      "title": "Estimate various statistics",
      "topics": [
        "stats_from_distribution"
      ]
    },
    {
      "page": "stepbins",
      "title": "Step function PDF and CDF fitted to binned data",
      "topics": [
        "stepbins",
        "stepbinsNotail",
        "stepbinsTail"
      ]
    },
    {
      "page": "theil",
      "title": "Estimate the Theil index",
      "topics": [
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      ]
    }
  ],
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    "ineq",
    "pracma",
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