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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install.packages("micemd")

1.11.0 by Vincent Audigier, 13 days ago


Browse source code at https://github.com/cran/micemd


Authors: Vincent Audigier [aut, cre] (CNAM MSDMA team) , Matthieu Resche-Rigon [aut] (INSERM ECSTRA team) , Johanna Munoz Avila [ctb] (Julius Center Methods Group UMC , 2022)


Documentation:   PDF Manual  


GPL-2 | GPL-3 license


Imports Matrix, graphics, utils, stats, MASS, parallel, nlme, lme4, mvmeta, jomo, mvtnorm, digest, abind, GJRM, mgcv, mixmeta, pbivnorm

Depends on mice

Suggests VIM, ggplot2, data.table, broom.mixed


Imported by clusterMI.

Suggested by bipd.

Enhanced by miceadds.


See at CRAN