Package: miceadds
Type: Package
Title: Some Additional Multiple Imputation Functions, Especially for
        'mice'
Version: 3.21-1
Date: 2026-05-29 07:56:46
Authors@R: 
    c(person(given = "Alexander",
                        family = "Robitzsch",
                        role = c("aut", "cre"),
                        email = "robitzsch@ipn.uni-kiel.de",
                        comment = c(ORCID = "0000-0002-8226-3132")),
                 person(given = "Simon",
                        family = "Grund",
                        role = "aut",
                        comment = c(ORCID = "0000-0002-1290-8986")),
                 person(given = "Thorsten",
                        family = "Henke",
                        role = "ctb"))
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Description: 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>).
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
URL: https://github.com/alexanderrobitzsch/miceadds,
        https://sites.google.com/view/alexander-robitzsch/software
License: GPL (>= 2)
BugReports: https://github.com/alexanderrobitzsch/miceadds/issues?state=open
Config/pak/sysreqs: cmake make libicu-dev libx11-dev zlib1g-dev
Repository: https://alexanderrobitzsch.r-universe.dev
Date/Publication: 2026-05-29 06:14:34 UTC
RemoteUrl: https://github.com/alexanderrobitzsch/miceadds
RemoteRef: HEAD
RemoteSha: 3faef905a7b7959593e2941b2889dc595c5c7fdc
NeedsCompilation: yes
Packaged: 2026-06-24 04:17:08 UTC; root
Author: 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]