mi

Iterative Multiple Imputation from Conditional Distributions

Class "missing_variable" and Inherited Classes

Class "missing_data.frame"

Make Changes to Discretionary Characteristics of Missing Variables

Multiple Imputation

Convergence Diagnostics

Estimate a Model Pooling Over the Imputed Datasets

Extract the Completed Data

Subset of variables from the CHAIN project

Class "allcategorical_missing_data.frame"

Class "bounded-continuous"

Class "categorical" and Inherited Classes

The "censored-continuous" Class, the "truncated-continuous" Class and Inherited Classes

Class "continuous"

Class "count"

Class "experiment_missing_data.frame"

Wrappers To Fit a Model

An Extractor Function for Model Parameters

Histograms of Multiply Imputed Data

Class "irrelevant" and Inherited Classes

Internal Functions and Methods

Exports completed data in Stata (.dta) or comma-separated (.csv) format

Apply a Function to a Object of Class mi

Class "multilevel_missing_data.frame"

The multinomial family

National Longitudinal Survey of Youth Extract

Class "positive-continuous" and Inherited Classes

Generate a random data.frame with tunable characteristics

Class "semi-continuous" and Inherited Classes