Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Amelia II: A Program for Missing Data | Honaker | Journal of Statistical Software
Authors: James Honaker, Gary King, Matthew Blackwell
Title: Amelia II: A Program for Missing Data
Abstract: Amelia II is a complete R package for multiple imputation of missing data. The package implements a new expectation-maximization with bootstrapping algorithm that works faster, with larger numbers of variables, and is far easier to use, than various Markov chain Monte Carlo approaches, but gives essentially the same answers. The program also improves imputation models by allowing researchers to put Bayesian priors on individual cell values, thereby including a great deal of potentially valuable and extensive information. It also includes features to accurately impute cross-sectional datasets, individual time series, or sets of time series for different cross-sections. A full set of graphical diagnostics are also available. The program is easy to use, and the simplicity of the algorithm makes it far more robust; both a simple command line and extensive graphical user interface are included.

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Paper: Amelia II: A Program for Missing Data     Download PDF (Downloads: 9239)
Amelia_1.5-4.tar.gz: R source package Download (Downloads: 918; 1MB)
v45i07.R: R example code from the paper Download (Downloads: 978; 18KB)

DOI: 10.18637/jss.v045.i07

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.