Imports: lattice, grDevices, graphics, MASS, nnet, rpart, splines,
Suggests: AGD, CALIBERrfimpute, gamlss, lme4, mitools, nlme, pan,

randomForest, Zelig, BSDA, knitr, rmarkdown
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

Depends: R (>= 2.4.0), MASS, nnet, methods
Packaged: 2010-10-17 18:36:07 UTC; stefvanbuuren

Depends: methods, R (>= 2.10.0), lattice
Imports: grDevices, graphics, MASS, nnet, rpart, splines, stats,
randomForest, Zelig, BSDA, knitr, rmarkdown, testthat

Packaged: 2011-01-06 16:50:51 UTC; stefvanbuuren

Packaged: 2011-03-03 20:03:11 UTC; stefvanbuuren

Packaged: 2011-03-16 12:26:41 UTC; stefvanbuuren

Packaged: 2011-03-23 23:42:06 UTC; stefvanbuuren

Packaged: 2011-09-01 08:04:57 UTC; stefvanbuuren

Imports: broom, dplyr, grDevices, graphics, MASS, mitml, nnet, Rcpp,
rlang, rpart, splines, stats, survival, utils
Suggests: AGD, CALIBERrfimpute, DPpackage, gamlss, lme4, mitools, nlme,
pan, randomForest, Zelig, BSDA, knitr, rmarkdown, testthat,

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

person("Vincent", "Arel-Bundock", role = "ctb",
Imports: broom, dplyr, generics, graphics, lattice, methods, stats,
Suggests: broom.mixed, knitr, lme4, MASS, mitml, miceadds, nnet, pan,
randomForest, rmarkdown, rpart, survival, testthat, lmtest

Imports: broom, dplyr, generics, graphics, lattice, methods, Rcpp,

person("Patrick", "Rockenschaub", role = "ctb",