Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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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.

Page views:: 25833. Submitted: 2009-05-30. Published: 2011-12-12.
Paper: Amelia II: A Program for Missing Data     Download PDF (Downloads: 13679)
Amelia_1.5-4.tar.gz: R source package Download (Downloads: 1272; 1MB)
v45i07.R: R example code from the paper Download (Downloads: 1455; 18KB)

DOI: 10.18637/jss.v045.i07

This work is licensed under the licenses
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.