Man pages for scarpino/binequality
Methods for Analyzing Binned Income Data
| binequality-package | 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... |
| makeWeightsAIC | A function to calculate AIC weights |
| mAvg | A simple function to perfom model averaging using... |
| 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 |
