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: | 1.2 |
| 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: | 2025-09-02 |
| DOI: | 10.32614/CRAN.package.mi |
| 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: | https://sites.stat.columbia.edu/gelman/ |
| NeedsCompilation: | no |
| Citation: | mi citation info |
| In views: | MissingData |
| CRAN checks: | mi results |