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: | 1.1 |
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: | 2022-06-06 |
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: | http://www.stat.columbia.edu/~gelman/ |
NeedsCompilation: | no |
Citation: | mi citation info |
In views: | MissingData |
CRAN checks: | mi results |
Reference manual: | mi.pdf |
Vignettes: |
An Example of mi Usage |
Package source: | mi_1.1.tar.gz |
Windows binaries: | r-devel: mi_1.1.zip, r-release: mi_1.1.zip, r-oldrel: mi_1.1.zip |
macOS binaries: | r-release (arm64): mi_1.1.tgz, r-oldrel (arm64): mi_1.1.tgz, r-release (x86_64): mi_1.1.tgz, r-oldrel (x86_64): mi_1.1.tgz |
Old sources: | mi archive |
Reverse depends: | GeDS |
Reverse imports: | migui, missCompare, sem |
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