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DESCRIPTION
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Package: miceadds
Type: Package
Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Version: 3.18-20
Date: 2024-05-29 10:31:28
Author:
Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>),
Simon Grund [aut] (<https://orcid.org/0000-0002-1290-8986>),
Thorsten Henke [ctb]
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 implemented.
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>), substantive model
compatible imputation (Bartlett et al., 2015,
<doi:10.1177/0962280214521348>), and features
for the generation of synthetic datasets
(Reiter, 2005, <doi:10.1111/j.1467-985X.2004.00343.x>;
Nowok, Raab, & Dibben, 2016, <doi:10.18637/jss.v074.i11>).
Depends:
R (>= 3.5-0), mice (>= 3.0.0)
Imports:
graphics, methods, mitools, Rcpp, stats, utils
LinkingTo:
Rcpp, RcppArmadillo
Suggests:
BIFIEsurvey, blme, car, CDM, coda, foreign,
inline, lme4, MASS, Matrix, MBESS, MCMCglmm, mdmb,
pls, numDeriv, readxl, sandwich, sirt,
sjlabelled, synthpop, TAM
Enhances:
Amelia, imputeR, jomo, micemd, mitml, pan,
simputation
URL:
https://github.com/alexanderrobitzsch/miceadds,
https://sites.google.com/view/alexander-robitzsch/software
License:
GPL (>= 2)
BugReports:
https://github.com/alexanderrobitzsch/miceadds/issues?state=open