Tools for the Bootstrap with Survey Data

bootstrap.estimates | bootstrap.estimates |

chain.data | get a dataset from a chain |

chain.size | get the size of a chain |

chain.vals | chain.vals |

estimate.degree.distns | estimate degree distributions by trait |

estimate.mixing | construct a mixing model from GoC/RDS data |

get.fn | grab a function based on its name |

get.var | get a variable from a dataframe or vector |

get.weights | get the weights column from a dataframe |

is.child.ct | determine whether or not one id is a parent of another |

make.chain | build an RDS seed's chain from the dataset |

max.depth | get the height (maximum depth) of a chain |

mc.sim | run a markov model |

MU284 | MU284 population |

parse_design | parse a formula that describes the design of a survey |

rds.boot.draw.chain | draw RDS bootstrap resamples for one chain |

rds.chain.boot.draws | draw RDS bootstrap resamples |

rds.mc.boot.draws | draw RDS bootstrap resamples using the algorithm in Salganik... |

rescaled.bootstrap.sample | rescaled.bootstrap.sample |

rescaled.bootstrap.sample.pureR | rescaled.bootstrap.sample.pureR |

srs.bootstrap.sample | srs.bootstrap.sample |

surveybootstrap | Survey bootstrap variance estimators |

traits.to.string | take a set of traits and turn into a string |

unparse.trait | unparse a collapsed trait string |

vcat | only prints things out in verbose mode |

weighted.mean | compute the weighted mean |

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