binequality

Package: binequality
Type: Package
Title: Methods for Analyzing Binned Income Data
Version: 0.6.1
Date: 2014-09-14
Author: Samuel V. Scarpino, Paul von Hippel, and Igor Holas
Maintainer: Samuel V. Scarpino <scarpino@utexas.edu>
Description: 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.
License: GPL (>= 3.0)
LazyLoad: yes
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)
Packaged: 2014-09-14 22:50:02 UTC; scarpino
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-15 07:27:50

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'binequality' ...
** package 'binequality' successfully unpacked and MD5 sums checked
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'binequality'
    finding HTML links ... done
    LRT                                     html  
    MLD                                     html  
    binequality-package                     html  
    county_bins                             html  
    fitFunc                                 html  
    getMids                                 html  
    getQuantilesParams                      html  
    giniCoef                                html  
    mAvg                                    html  
    makeFitComb                             html  
    makeInt                                 html  
    makeIntWeight                           html  
    makeWeightsAIC                          html  
    midStats                                html  
    modelAvg                                html  
    paramFilt                               html  
    run_GB_family                           html  
    school_district_bins                    html  
    state_bins                              html  
    theilInd                                html  
** building package indices
** testing if installed package can be loaded
* DONE (binequality)
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