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.

Documentation

Manual: miceadds.pdf
Vignette: None available.

Maintainer: Alexander Robitzsch <robitzsch at ipn.uni-kiel.de>

Author(s): Alexander Robitzsch*, Simon Grund*, Thorsten Henke*

Install package and any missing dependencies by running this line in your R console:

install.packages("miceadds")

Depends R (>= 3.0), mice
Imports CDM(>=5.8-5), graphics, lme4, methods, mitools, mvtnorm, Rcpp, sirt, stats, TAM(>=2.5-5), utils
Suggests Amelia, BIFIEsurvey, blme, car, foreign, grouped, haven, hmi, Hmisc, inline, jomo, MBESS, MCMCglmm, micemd, mitml, multiwayvcov, pan, pls, sjlabelled, Zelig
Enhances
Linking to Rcpp, RcppArmadillo
Reverse
depends
Reverse
imports
BIFIEsurvey, Conigrave, mdmb
Reverse
suggests
CDM, hot.deck, LSAmitR, mitml, sirt, TAM
Reverse
enhances
Reverse
linking to

Package miceadds
Materials
URL https://github.com/alexanderrobitzsch/miceadds
Task Views
Version 2.7-19
Published 2017-08-24
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks miceadds check results
Package source miceadds_2.7-19.tar.gz