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) <arXiv:1702.00971>, 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: 1.2.0
Depends: R (≥ 3.2.5), mice (≥ 2.42)
Imports: Matrix, graphics, utils, stats, MASS, parallel, nlme, lme4, mvmeta (≥ 0.4.7), jomo (≥ 2.4-1), mvtnorm, digest, abind
Suggests: VIM
Published: 2018-01-07
Author: Vincent Audigier [aut, cre] (CNAM MSDMA team), Matthieu Resche-Rigon [aut] (INSERM ECSTRA team)
Maintainer: Vincent Audigier <vincent.audigier at cnam.fr>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: micemd results


Reference manual: micemd.pdf
Package source: micemd_1.2.0.tar.gz
Windows binaries: r-devel: micemd_1.2.0.zip, r-release: micemd_1.2.0.zip, r-oldrel: micemd_1.2.0.zip
OS X El Capitan binaries: r-release: micemd_1.2.0.tgz
OS X Mavericks binaries: r-oldrel: micemd_1.2.0.tgz
Old sources: micemd archive

Reverse dependencies:

Reverse suggests: miceadds


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