The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

binequality: Methods for Analyzing Binned Income Data

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.

Version: 1.0.4
Depends: R (≥ 2.10), gamlss (≥ 4.2.7), gamlss.cens (≥ 4.2.7), gamlss.dist (≥ 4.3.0)
Imports: survival (≥ 2.37-7), ineq (≥ 0.2-11)
Published: 2018-11-05
DOI: 10.32614/CRAN.package.binequality
Author: Samuel V. Scarpino, Paul von Hippel, and Igor Holas
Maintainer: Samuel V. Scarpino <s.scarpino at northeastern.edu>
License: GPL (≥ 3.0)
NeedsCompilation: no
Citation: binequality citation info
CRAN checks: binequality results

Documentation:

Reference manual: binequality.pdf

Downloads:

Package source: binequality_1.0.4.tar.gz
Windows binaries: r-devel: binequality_1.0.4.zip, r-release: binequality_1.0.4.zip, r-oldrel: binequality_1.0.4.zip
macOS binaries: r-release (arm64): binequality_1.0.4.tgz, r-oldrel (arm64): binequality_1.0.4.tgz, r-release (x86_64): binequality_1.0.4.tgz, r-oldrel (x86_64): binequality_1.0.4.tgz
Old sources: binequality archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=binequality to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.