Missing Data Imputation and Model Checking

00mi-package | Iterative Multiple Imputation from Conditional Distributions |

01missing_variable | Class "missing_variable" and Inherited Classes |

02missing_data.frame | Class "missing_data.frame" |

03change | Make Changes to Discretionary Characteristics of Missing... |

04mi | Multiple Imputation |

05Rhats | Convergence Diagnostics |

06pool | Estimate a Model Pooling Over the Imputed Datasets |

07complete | Extract the Completed Data |

allcategorical_missing_data.frame | Class "allcategorical_missing_data.frame" |

bounded | Class "bounded-continuous" |

categorical | Class "categorical" and Inherited Classes |

censored-continuous | The "censored-continuous" Class, the "truncated-continuous"... |

CHAIN | Subset of variables from the CHAIN project |

continuous | Class "continuous" |

count | Class "count" |

experiment_missing_data.frame | Class "experiment_missing_data.frame" |

fit_model | Wrappers To Fit a Model |

get_parameters | An Extractor Function for Model Parameters |

hist | Histograms of Multiply Imputed Data |

irrelevant | Class "irrelevant" and Inherited Classes |

mi2stata | Exports completed data in Stata (.dta) or comma-separated... |

mi-internal | Internal Functions and Methods |

mipply | Apply a Function to a Object of Class mi |

multilevel_missing_data.frame | Class "multilevel_missing_data.frame" |

multinomial | The multinomial family |

nlsyV | National Longitudinal Survey of Youth Extract |

positive | Class "positive-continuous" and Inherited Classes |

rdata.frame | Generate a random data.frame with tunable characteristics |

semi-continuous | Class "semi-continuous" and Inherited Classes |

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