Multiple Imputation by Chained Equations with Multilevel Data R package micemd version 1.10.1 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) 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) <doi:10.1214/18-STS646>, 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'. Software Depends: R (>= 3.5.0), mice (>= 2.42) Imports: Matrix, graphics, utils, stats, MASS, parallel, nlme, lme4, mvmeta (>= 0.4.7), jomo (>= 2.6-3), mvtnorm, digest, abind, GJRM (>= 0.2-6.4), mgcv, mixmeta, pbivnorm Suggests: VIM, ggplot2, data.table, broom.mixed Vincent Audigier <vincent.audigier@cnam.fr> Comprehensive R Archive Network (CRAN) Vincent Audigier [aut, cre] (CNAM MSDMA team), Matthieu Resche-Rigon [aut] (INSERM ECSTRA team), Johanna Munoz Avila [ctb] (Julius Center Methods Group UMC, 2022) GPL-2 GPL-3 2025-08-27 application/tgz https://CRAN.R-project.org/package=micemd doi:10.32614/CRAN.package.micemd