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 dedicated to sporadically and systematically missing values. Imputation of continuous, binary or count variables are available. Following the recommendations of Audigier, V. et al (2018) , 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 and overimputation for 'mice'.


Reference manual

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1.8.0 by Vincent Audigier, 3 months ago

Browse source code at

Authors: Vincent Audigier [aut, cre] (CNAM MSDMA team) , Matthieu Resche-Rigon [aut] (INSERM ECSTRA team)

Documentation:   PDF Manual  

Task views: Missing Data

GPL-2 | GPL-3 license

Imports Matrix, graphics, utils, stats, MASS, parallel, nlme, lme4, mvmeta, jomo, mvtnorm, digest, abind

Depends on mice

Suggests VIM

Enhanced by miceadds.

See at CRAN