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 |