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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=mi to link to this page.
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