Amelia II: A Program for Missing Data

@article{Honaker2011AmeliaIA,
  title={Amelia II: A Program for Missing Data},
  author={James Honaker and G. King and M. Blackwell},
  journal={Journal of Statistical Software},
  year={2011},
  volume={45},
  pages={1-47}
}
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… Expand
State of the Multiple Imputation Software.
  • R. Yucel
  • Computer Science, Medicine
  • Journal of statistical software
  • 2011
Multiple imputation for time series data with Amelia package.
  • Zhongheng Zhang
  • Computer Science, Medicine
  • Annals of translational medicine
  • 2016
Iterative stepwise regression imputation using standard and robust methods
An Empirical Comparison of Multiple Imputation Methods for Categorical Data
A Comparison of Multiple Imputation Techniques
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 45 REFERENCES
Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective.
Diagnostics for Multivariate Imputations
Bootstrap for Imputed Survey Data
Missing Data, Imputation, and the Bootstrap
What to Do about Missing Values in Time‐Series Cross‐Section Data
...
1
2
3
4
5
...