micemd: Multiple Imputation by Chained Equations with Multilevel Data

Addons for the 'mice' package to perform multiple imputation using chained equations with two-level data. Includes imputation methods specifically handling sporadically and systematically missing values. Imputation of continuous, binary or count variables are available. Following the recommendations of Audigier, V. et al (2017), the choice of the imputation method for each variable can be facilitated by a default choice tuned according to the structure of the incomplete dataset. Allows parallel calculation for 'mice'.

Version: 1.1.0
Depends: R (≥ 3.2.5), mice (≥ 2.25)
Imports: Matrix, graphics, utils, stats, MASS, parallel, nlme, lme4, mvmeta (≥ 0.4.7), jomo (≥ 2.4-1), mvtnorm, digest, abind
Suggests: VIM
Published: 2017-07-09
Author: Vincent Audigier [aut, cre] (INSERM ECSTRA team), Matthieu Resche-Rigon [aut] (INSERM ECSTRA team)
Maintainer: Vincent Audigier <vincent.audigier at univ-paris-diderot.fr>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: micemd results


Reference manual: micemd.pdf
Package source: micemd_1.1.0.tar.gz
Windows binaries: r-devel: micemd_1.1.0.zip, r-release: micemd_1.1.0.zip, r-oldrel: micemd_1.1.0.zip
OS X El Capitan binaries: r-release: micemd_1.1.0.tgz
OS X Mavericks binaries: r-oldrel: micemd_1.1.0.tgz
Old sources: micemd archive

Reverse dependencies:

Reverse suggests: miceadds


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