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binequality

1.0.4

Methods for Analyzing Binned Income Data

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Overview

About
Maintained by Samuel V. ScarpinoFirst published 2014-09-155 releasesCRAN page ↗

Methods for model selection, model averaging, and calculating metrics, such as the Gini, Theil, Mean Log Deviation, etc, on binned income data where the topmost bin is right-censored. We provide both a non-parametric method, termed the bounded midpoint estimator (BME), which assigns cases to their bin midpoints; except for the censored bins, where cases are assigned to an income estimated by fitting a Pareto distribution. Because the usual Pareto estimate can be inaccurate or undefined, especially in small samples, we implement a bounded Pareto estimate that yields much better results. We also provide a parametric approach, which fits distributions from the generalized beta (GB) family. Because some GB distributions can have poor fit or undefined estimates, we fit 10 GB-family distributions and use multimodel inference to obtain definite estimates from the best-fitting distributions. We also provide binned income data from all United States of America school districts, counties, and states.

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  • NOTE2026-06-09
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    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (4)
Imports (2)
survivalineq
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Listed in earlier versions (3)
no longer listed · 0.6.1 to 1.0.4
no longer listed · 0.6.1 to 1.0.4
no longer listed · 0.6.1 to 1.0.4
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.4Latest
    2018-11-05 · current release · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.3
    2018-02-18 · diff ↗
  • 1.0.2
    2017-07-09 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0.1
    2016-12-17 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
Show 2 earlier events
  • 0.6.1
    2014-09-15
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-09-15
Total releases
5 / 12 yrs
License
GPL (>= 3.0)
Minimum R
≥ 2.10
Bundled data
2.3 MB / 4 files
Download size
2.3 MB
Installed size
not tracked yet
With dependencies
not tracked yet

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APA

Balamuta, J. J. (2026). R Observatory: Metrics for binequality version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

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