Andrew Gelman <gelman@stat.columbia.edu>,
Jennifer Hill <jh1030@columbia.edu>,
Masanao Yajima <my2167@columbia.edu>,
Yu-Sung Su <ys463@columbia.edu>,
Maria Grazia Pittau <grazia@stat.columbia.edu>
Missing-data imputation and model checking

Missing Data Imputation and Model Checking

methods, MASS, nnet, car, arm, lme4, R2WinBUGS, abind

Andrew Gelman <gelman@stat.columbia.edu>, Jennifer Hill
<jh1030@columbia.edu>, Masanao Yajima <my2167@columbia.edu>,
Yu-Sung Su <ys463@columbia.edu>, Maria Grazia Pittau
<grazia@stat.columbia.edu>

methods, MASS, nnet, car, arm, Matrix, lme4, R2WinBUGS, abind

Andrew Gelman <gelman@stat.columbia.edu>, Jennifer Hill
<jh1030@columbia.edu>, Yu-Sung Su <ys463@columbia.edu>, Masanao
Yajima <my2167@columbia.edu>, Maria Grazia Pittau
<grazia@stat.columbia.edu>

Andrew Gelman <gelman@stat.columbia.edu>, Jennifer Hill
<jh1030@columbia.edu>, Yu-Sung Su <suyusung@tsinghua.edu.cn>,
Masanao Yajima <my2167@columbia.edu>, Maria Grazia Pittau
<grazia@stat.columbia.edu>
methods, MASS, nnet, car, arm (>= 1.3-08), Matrix, lme4,
R2WinBUGS, abind

methods, MASS, nnet, car, arm (>= 1.3-08), Matrix, lme4,
R2WinBUGS, abind, car

Andrew Gelman <gelman@stat.columbia.edu>,
Jennifer Hill <jh1030@columbia.edu>,
Yu-Sung Su <suyusung@tsinghua.edu.cn>,
Masanao Yajima <my2167@columbia.edu>,
Maria Grazia Pittau <grazia@stat.columbia.edu>

abind, car, foreign, lme4 (>= 0.999999-2), MASS, Matrix (>=
1.0), methods, nnet, stats, R2WinBUGS

Andrew Gelman <gelman@stat.columbia.edu>,
Jennifer Hill <Jennifer.hill@nyu.edu>,
Yu-Sung Su <suyusung@tsinghua.edu.cn>,
Masanao Yajima <my2167@columbia.edu>,
Maria Grazia Pittau <grazia@stat.columbia.edu>
R functions for performing multiple imputation with several checks.

abind, car, foreign, lme4 (>= 0.999999-2), MASS, Matrix (>=
1.0), methods, nnet, stats, R2WinBUGS, nlme

c(person("Andrew", "Gelman", email = "gelman@stat.columbia.edu", role = "ctb"),
person("Jennifer", "Hill", email = "jennifer.hill@nyu.edu", role = "ctb"),
person("Yu-Sung", "Su", email = "suyusung@tsinghua.edu.cn", role = c("aut")),
person("Masanao", "Yajima", email = "my2167@columbia.edu", role = "ctb"),
person("Maria", "Pittau", email = "grazia@stat.columbia.edu", role = "ctb"),
person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu", role = c("cre", "aut")),
person("Yajuan", "Si", email = "sophie2012@gmail.com", role = "ctb"),
person("Jon", "Kropko", email = "jkropko@gmail.com", role = "aut"))
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.
betareg, lattice, knitr, MASS, nnet, parallel, sn, survival,
truncnorm, foreign
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]