mi: Missing Data Imputation and Model Checking
Yu‐Sung Su, Ben Goodrich, Jon Kropko · 2008
The mi package provides functions for data manipulation, imputing missing values in an approximate Bayesian framework, diagnostics of the models used to generate the imputations, confidence-building mechanisms to validate some of the assumptions of the imputation algorithm, and functions to analyze multiply imputed data sets with the appropriate degree of sampling uncertainty.