Some Additional Multiple Imputation Functions, Especially for 'mice' R package miceadds version 3.20-10 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) Contains functions for multiple imputation which complements existing functionality in R. In particular, several imputation methods for the mice package (van Buuren & Groothuis-Oudshoorn, 2011, <doi:10.18637/jss.v045.i03>) are implemented. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, <doi:10.1007/BF02294457>), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, <doi:10.1177/1094428117703686>; van Buuren, 2018, Ch.7, <doi:10.1201/9780429492259>), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), nested multiple imputation (Rubin, 2003, <doi:10.1111/1467-9574.00217>), substantive model compatible imputation (Bartlett et al., 2015, <doi:10.1177/0962280214521348>), and features for the generation of synthetic datasets (Reiter, 2005, <doi:10.1111/j.1467-985X.2004.00343.x>; Nowok, Raab, & Dibben, 2016, <doi:10.18637/jss.v074.i11>). Software Depends: R (>= 3.5-0), mice (>= 3.0.0) Imports: graphics, methods, mitools, Rcpp, stats, utils LinkingTo: Rcpp, RcppArmadillo Suggests: BIFIEsurvey, blme, car, CDM, coda, foreign, inline, lme4, MASS, Matrix, MBESS, MCMCglmm, mdmb, pls, numDeriv, readxl, sandwich, sirt, sjlabelled, synthpop, TAM Enhances: Amelia, imputeR, jomo, micemd, mitml, pan, simputation Alexander Robitzsch <robitzsch@ipn.uni-kiel.de> Comprehensive R Archive Network (CRAN) Alexander Robitzsch [aut, cre] (ORCID: <https://orcid.org/0000-0002-8226-3132>), Simon Grund [aut] (ORCID: <https://orcid.org/0000-0002-1290-8986>), Thorsten Henke [ctb] GPL (>= 2) 2026-05-28 application/tgz https://CRAN.R-project.org/package=miceadds doi:10.32614/CRAN.package.miceadds