Package: miceadds
Type: Package
Title: Some Additional Multiple Imputation Functions, Especially for
        'mice'
Version: 2.10-14
Date: 2018-03-29 14:47:31
Author: 
    Alexander Robitzsch [aut, cre], Simon Grund [aut],
    Thorsten Henke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Description: 
    Contains some auxiliary functions for multiple 
    imputation which complements existing functionality 
    in R.
    In addition to some utility functions, main features
    include plausible value imputation, multilevel 
    imputation functions (arbitrary number of levels, 
    hierarchical and non-hierarchical datasets), 
    imputation using partial least squares (PLS) for 
    high dimensional predictors, and nested multiple 
    imputation.
Depends: R (>= 3.0), mice
Imports: CDM (>= 5.8-5), graphics, lme4, MASS, methods, mitools,
        mvtnorm, Rcpp, sirt, stats, TAM (>= 2.9-13), utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: Amelia, BIFIEsurvey, blme, car, foreign, grouped, haven,
        inline, jomo, MBESS, MCMCglmm, mitml, multiwayvcov, pan,
        sjlabelled
URL: https://github.com/alexanderrobitzsch/miceadds
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2018-03-29 12:48:22 UTC; sunpn563
Repository: CRAN
Date/Publication: 2018-03-29 15:33:44 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 17:36:08 UTC; windows
Archs: i386, x64
