mice

Multivariate Imputation by Chained Equations

Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.

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Description file content

Package
mice
Type
Package
Version
3.6.0
Title
Multivariate Imputation by Chained Equations
Date
2019-07-09
Maintainer
Stef van Buuren
Depends
methods, R (>= 2.10.0), lattice
Imports
broom, dplyr, grDevices, graphics, MASS, mitml, nnet, parallel, Rcpp, rlang, rpart, splines, stats, survival, utils
Suggests
AGD, CALIBERrfimpute, gamlss, lme4, mitools, nlme, pan, randomForest, Zelig, BSDA, knitr, rmarkdown, testthat, HSAUR3, micemd, miceadds, tidyr
LinkingTo
Rcpp
Description
Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) . Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Encoding
UTF-8
License
GPL-2 | GPL-3
LazyLoad
yes
LazyData
yes
URL
BugReports
https://github.com/stefvanbuuren/mice/issues
RoxygenNote
6.1.1
NeedsCompilation
yes
Packaged
2019-07-09 20:30:44 UTC; buurensv
Author
Stef van Buuren [aut, cre], Karin Groothuis-Oudshoorn [aut], Alexander Robitzsch [ctb], Gerko Vink [ctb], Lisa Doove [ctb], Shahab Jolani [ctb], Rianne Schouten [ctb], Philipp Gaffert [ctb], Florian Meinfelder [ctb], Bernie Gray [ctb]
Repository
CRAN
Date/Publication
2019-07-10 08:00:03 UTC

install.packages('mice')

3.6.0

a month ago

http://stefvanbuuren.github.io/mice/

Stef van Buuren

GPL-2 | GPL-3

Depends on

methods, R (>= 2.10.0), lattice

Imports

broom, dplyr, grDevices, graphics, MASS, mitml, nnet, parallel, Rcpp, rlang, rpart, splines, stats, survival, utils

Suggests

AGD, CALIBERrfimpute, gamlss, lme4, mitools, nlme, pan, randomForest, Zelig, BSDA, knitr, rmarkdown, testthat, HSAUR3, micemd, miceadds, tidyr

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