miceadds: Some Additional Multiple Imputation Functions, Especially for 'mice'

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, imputation using partial least squares (PLS) for high dimensional predictors, nested multiple imputation.

Version: 2.2-0
Depends: R (≥ 2.15.0), mice
Imports: blme, car, CDM, foreign, graphics, grouped, lme4, MASS, MCMCglmm, methods, mitools, multiwayvcov, mvtnorm, Rcpp, sirt, sjmisc, stats, TAM, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: Amelia, BIFIEsurvey, haven, Hmisc, inline, jomo, MBESS, mitml, pan, pls, Zelig
Published: 2017-01-11
Author: Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [aut]
Maintainer: Alexander Robitzsch <robitzsch at ipn.uni-kiel.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: miceadds results


Reference manual: miceadds.pdf
Package source: miceadds_2.2-0.tar.gz
Windows binaries: r-devel: miceadds_2.2-0.zip, r-release: miceadds_2.2-0.zip, r-oldrel: miceadds_2.2-0.zip
OS X Mavericks binaries: r-release: miceadds_2.2-0.tgz, r-oldrel: miceadds_2.2-0.tgz
Old sources: miceadds archive

Reverse dependencies:

Reverse imports: BIFIEsurvey, Conigrave, mdmb
Reverse suggests: CDM, hot.deck, LSAmitR, mitml, sirt, TAM


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