Package: micemd Type: Package Title: Multiple Imputation by Chained Equations with Multilevel Data Version: 1.11.0 Date: 2026-09-28 Authors@R: c(person("Vincent","Audigier",email="vincent.audigier@cnam.fr",role=c("aut","cre"),comment="CNAM MSDMA team"),person("Matthieu","Resche-Rigon",email="matthieu.resche-rigon@u-paris.fr",role=c("aut"),comment="INSERM ECSTRA team"),person("Johanna","Munoz Avila",email="J.MunozAvila@umcutrecht.nl", role="ctb",comment="Julius Center Methods Group UMC, 2022")) Description: 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'. License: GPL-2 | GPL-3 Depends: R (>= 4.5.0), mice (>= 3.19) Imports: Matrix, graphics, utils, stats, MASS, parallel, nlme, lme4, mvmeta (>= 0.4.7), jomo (>= 2.6-3), mvtnorm, digest, abind, GJRM (>= 0.2-6.9), mgcv, mixmeta, pbivnorm Suggests: VIM, ggplot2, data.table, broom.mixed RoxygenNote: 6.1.0 NeedsCompilation: no Packaged: 2026-10-08 12:11:31 UTC; root Author: Vincent Audigier [aut, cre] (CNAM MSDMA team), Matthieu Resche-Rigon [aut] (INSERM ECSTRA team), Johanna Munoz Avila [ctb] (Julius Center Methods Group UMC, 2022) Maintainer: Vincent Audigier Config/pak/sysreqs: cmake libgmp3-dev make libgsl0-dev libicu-dev libmpfr-dev libx11-dev zlib1g-dev Repository: https://vaudigier.r-universe.dev Date/Publication: 2026-09-28 12:30:02 UTC RemoteUrl: https://github.com/cran/micemd RemoteRef: HEAD RemoteSha: 9314e49ace83925adae67c02ac2b196aad9135e3