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>).
| Version: | 3.19-16 |
| 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 |
| Published: | 2026-03-13 |
| DOI: | 10.32614/CRAN.package.miceadds |
| Author: | Alexander Robitzsch
|
| Maintainer: | Alexander Robitzsch <robitzsch at ipn.uni-kiel.de> |
| BugReports: | https://github.com/alexanderrobitzsch/miceadds/issues?state=open |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/alexanderrobitzsch/miceadds, https://sites.google.com/view/alexander-robitzsch/software |
| NeedsCompilation: | yes |
| Citation: | miceadds citation info |
| Materials: | README, NEWS |
| In views: | MissingData |
| CRAN checks: | miceadds results |
| Reference manual: | miceadds.html , miceadds.pdf |
| Package source: | miceadds_3.19-16.tar.gz |
| Windows binaries: | r-devel: miceadds_3.19-16.zip, r-release: miceadds_3.18-36.zip, r-oldrel: miceadds_3.19-16.zip |
| macOS binaries: | r-release (arm64): miceadds_3.19-16.tgz, r-oldrel (arm64): miceadds_3.19-16.tgz, r-release (x86_64): miceadds_3.19-16.tgz, r-oldrel (x86_64): miceadds_3.19-16.tgz |
| Old sources: | miceadds archive |
| Reverse imports: | BIFIEsurvey, Conigrave, eatRep, mdmb, MKinfer, scHiCcompare |
| Reverse linking to: | mdmb |
| Reverse suggests: | bipd, booami, CDM, hot.deck, LSAmitR, marginaleffects, mice, mitml, sirt, TAM |
| Reverse enhances: | texreg |
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