miceadds (3.9-14)

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Some Additional Multiple Imputation Functions, Especially for 'mice'.


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, ) are included. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, ), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, ; van Buuren, 2018, Ch.7, ), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), nested multiple imputation (Rubin, 2003, ) and substantive model compatible imputation (Bartlett et al., 2015, ).

Maintainer: Alexander Robitzsch
Author(s): Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [ctb]

License: GPL (>= 2)

Uses: mice, mitools, Rcpp, MBESS, car, coda, foreign, grouped, inline, lme4, numDeriv, sandwich, MCMCglmm, MASS, blme, CDM, sirt, TAM, imputeR, BIFIEsurvey, readxl, simputation, mdmb, sjlabelled
Enhances: Amelia, pan, jomo, mitml, micemd
Reverse suggests: CDM, hot.deck, LSAmitR, mice, mitml, sirt, TAM
Reverse enhances: texreg

Released 21 days ago.

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Related packages: Amelia, CVThresh, HardyWeinberg, Hmisc, ade4, cat, eigenmodel, experiment, ltm, memisc, mice, mitools, mix, norm, pan, randomForest, sbgcop, yaImpute, zoo, SNPassoc(20 best matches, based on common tags.)

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