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 |

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