Contains some auxiliary functions for multiple imputation which
complements existing functionality in R.
In addition to some utility functions, main features include
plausible value imputation, multilevel imputation functions,
imputation using partial least squares (PLS) for high dimensional
predictors, nested multiple imputation, and two-way imputation.
Rcpp, sirt, TAM, lme4, MBESS, pls, mitools, bayesm, inline,
car, foreign, sjmisc, multiwayvcov

methods, stats, graphics, utils, Rcpp, TAM, lme4, inline, car,
foreign, sjmisc, multiwayvcov, grouped, MBESS, bayesm, sirt,
pls, mitools, MASS, mvtnorm
Amelia, Zelig, jomo, haven, BIFIEsurvey, mitml, pan

c(person("Alexander", "Robitzsch", role =
c("aut","cre"), email = "robitzsch@ipn.uni-kiel.de"))

Alexander Robitzsch [aut, cre], Simon Grund [ctb],
Thorsten Henke [ctb]
Contains some auxiliary functions for multiple
imputation which complements existing functionality
in R.
In addition to some utility functions, main features
include plausible value imputation, multilevel
imputation functions, imputation using partial least
squares (PLS) for high dimensional predictors, nested
multiple imputation, and two-way imputation.
bayesm, car, foreign, graphics, grouped, Hmisc, inline, lme4,
MASS, MBESS, MCMCglmm, methods, mitools, multiwayvcov, mvtnorm,
pls, Rcpp, sirt, sjmisc, stats, TAM, utils
Amelia, BIFIEsurvey, haven, jomo, mitml, pan, Zelig

Alexander Robitzsch [aut, cre], Simon Grund [aut],
Thorsten Henke [aut]
car, foreign, graphics, grouped, lme4, MASS, MCMCglmm,
methods, mitools, multiwayvcov, mvtnorm, Rcpp, sirt, sjmisc,
stats, TAM (>= 1.99), utils
Amelia, BIFIEsurvey, haven, Hmisc, inline, jomo, MBESS,
mitml, pan, pls, Zelig

blme, car, foreign, graphics, grouped, lme4, MASS, MCMCglmm,
methods, mitools, multiwayvcov, mvtnorm, Rcpp, sirt, sjmisc,
stats, TAM (>= 1.99), utils

Contains some auxiliary functions for multiple
imputation which complements existing functionality
in R.
In addition to some utility functions, main features
include plausible value imputation, multilevel
imputation functions (arbitrary number of levels,
hierarchical and non-hierarchical datasets),
imputation using partial least squares (PLS) for
high dimensional predictors, and nested multiple
imputation.
CDM (>= 5.8-5), graphics, lme4, MASS, methods, mitools,
mvtnorm, Rcpp, sirt, stats, TAM (>= 2.9-13), utils
Amelia, BIFIEsurvey, blme, car, foreign, grouped, haven,
inline, jomo, MBESS, MCMCglmm, mitml, multiwayvcov, pan,
sjlabelled