mi (1.0)

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Missing Data Imputation and Model Checking.


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.

Maintainer: Ben Goodrich
Author(s): 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]

License: GPL (>= 2)

Uses: arm, Matrix, betareg, foreign, lattice, survival, sn, truncnorm, MASS, nnet, knitr
Reverse depends: migui, miP
Reverse suggests: MissingDataGUI, sem

Released almost 5 years ago.

28 previous versions



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Related packages: Hmisc, mice, mitools, mix, pan, Amelia, norm, VIM, MatchThem, MatchIt, nlme, survey, cat, lme4, memisc, missMDA, robCompositions, StatMatch, yaImpute, CoImp(20 best matches, based on common tags.)

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Visit mi on R Graphical Manual.