R: Methods for Analyzing Binned Income Data

# Methods for Analyzing Binned Income Data

## Documentation for package ‘binequality’ version 1.0.4

- DESCRIPTION file

## Help Pages

binequality-package | Methods for Analyzing Binned Income Data
binequality | Methods for Analyzing Binned Income Data
county_bins | A data set containing binned income for US counties
fitFunc | A function to fit a parametric distribution to binned data.
getMids | A function to calculate the bin midpoints.
getQuantilesParams | A function to extract the quantiles and parameters
giniCoef | Calculates the Gini coefficient from quantiles
LRT | A function to perform likelihood ratio tests
makeFitComb | A function to transform a list into a dataframe
makeInt | A function to create a survival object from bin counts.
makeIntWeight | A function to create a survival object from bin counts and normalized bin weights.
makeWeightsAIC | A function to calculate AIC weights
mAvg | A simple function to perfom model averaging using pre-calculated weights.
midStats | A function to calculate statistics using bin midpoints
MLD | A function to calculate the MLD
modelAvg | A function to calculate model averages
paramFilt | A function to filter models based on estimated parameters
run_GB_family | A function to fit a parametric distributions to binned data.
school_district_bins | A data set containing the school district data.
SDL | A function to calculate the SDL
state_bins | A data set containing the binned state data.
theilInd | A function to calculate the Theil