miceadds-package: Some Additional Multiple Imputation Functions, Especially for...

Description Details Author(s) See Also Examples

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

Details

  • In addition to the usual mice imputation function which employs parallel chains, the function mice.1chain does multiple imputation from a single chain.

  • Nested multiple imputation can be conducted with mice.nmi.

  • Imputation based on partial least squares regression is implemented in mice.impute.pls.

  • Unidimensional plausible value imputation for latent variables (or variables with measurement error) in the mice sequential imputation framework can be applied by using the method mice.impute.plausible.values.

  • Imputations for questionnaire items can be accomplished by two-way imputation (tw.imputation).

  • The miceadds package also includes some functions R utility functions (e.g. write.pspp, ma.scale2).

Author(s)

Alexander Robitzsch
IPN - Leibniz Institute for Science and Mathematics Education at Kiel University

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

URL: https://sites.google.com/site/alexanderrobitzsch/

See Also

See other R packages for conducting multiple imputation: mice, Amelia, pan, mi, norm, norm2, BaBooN, VIM, ...

Some links to internet sites related to missing data:

http://missingdata.lshtm.ac.uk/
http://www.stefvanbuuren.nl/mi/
http://www.bristol.ac.uk/cmm/software/realcom/

Examples

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##   
##   ::'''''''''''''''''''''''''''''''''::
##   :: miceadds 0.11-69 (2013-12-01)   ::
##   ::'''''''''''''''''''''''''''''''''::
##
##  ----------------------- mice at work ---------------------------------
##
##                         (\-.
##                         / _`> .---------.
##                 _)     / _)=  |'-------'|
##                (      / _/    |O   O   o|
##                 `-.__(___)_   | o O . o |
##                               `---------'
##   
##                                          oo__
##                                         <;___)------
##                                    oo__   " "
##                                   <;___)------     oo__
##                                     " "           <;___)------
##                                                     " "


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