Package: miceadds
Type: Package
Title: Some Additional Multiple Imputation Functions, Especially for
        'mice'
Version: 3.2-48
Date: 2019-04-15 18:10:29
Author: 
    Alexander Robitzsch [aut, cre], Simon Grund [aut],
    Thorsten Henke [aut]
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 included.
    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>) and substantive model
    compatible imputation (Bartlett et al., 2015,
    <doi:10.1177/0962280214521348>).
Depends: R (>= 3.0), mice (>= 3.0.0)
Imports: CDM, graphics, lme4, methods, mitools, Rcpp, sirt, stats, TAM,
        utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: BIFIEsurvey, blme, car, coda, foreign, grouped, inline, MASS,
        MBESS, MCMCglmm, mdmb, multiwayvcov, numDeriv, readxl,
        sjlabelled
Enhances: Amelia, jomo, micemd, mitml, pan
URL: https://github.com/alexanderrobitzsch/miceadds,
        https://sites.google.com/site/alexanderrobitzsch2/software
License: GPL (>= 2)
BugReports: https://github.com/alexanderrobitzsch/miceadds/issues?state=open
NeedsCompilation: yes
Packaged: 2019-04-15 16:13:34 UTC; sunpn563
Repository: CRAN
Date/Publication: 2019-04-15 18:22:38 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 22:44:20 UTC; windows
Archs: i386, x64
