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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, confidencebuilding 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.
Package details 


Author  Andrew Gelman [ctb], Jennifer Hill [ctb], YuSung Su [aut], Masanao Yajima [ctb], Maria Pittau [ctb], Ben Goodrich [cre, aut], Yajuan Si [ctb], Jon Kropko [aut] 
Maintainer  Ben Goodrich <[email protected]> 
License  GPL (>= 2) 
Version  1.0 
URL  http://www.stat.columbia.edu/~gelman/ 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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