mi (1.0)

1 user

Missing Data Imputation and Model Checking.

http://www.stat.columbia.edu/~gelman/
http://cran.r-project.org/web/packages/mi

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 about 2 years ago.


28 previous versions

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Related packages: Hmisc, MatchIt, mice, mitools, mix, nlme, pan, survey, Amelia, lme4, norm, VIM, micEconIndex, editrules, deducorrect, rms, aod, boot, bootstrap, brglm(20 best matches, based on common tags.)


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Visit mi on R Graphical Manual.