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.
| Version: |
1.0 |
| Depends: |
R (≥ 3.0.0), methods, Matrix, stats4 |
| Imports: |
arm (≥ 1.4-11) |
| Suggests: |
betareg, lattice, knitr, MASS, nnet, parallel, sn, survival, truncnorm, foreign |
| Published: |
2015-04-16 |
| Author: |
Andrew Gelman [ctb],
Jennifer Hill [ctb],
Yu-Sung Su [aut],
Masanao Yajima [ctb],
Maria Pittau [ctb],
Ben Goodrich [cre, aut],
Yajuan Si [ctb],
Jon Kropko [aut] |
| Maintainer: |
Ben Goodrich <benjamin.goodrich at columbia.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http://www.stat.columbia.edu/~gelman/ |
| NeedsCompilation: |
no |
| Citation: |
mi citation info |
| In views: |
MissingData, OfficialStatistics, SocialSciences |
| CRAN checks: |
mi results |