CRAN

miceadds 3.4-17

Some Additional Multiple Imputation Functions, Especially for 'mice'

Released Jun 19, 2019 by Alexander Robitzsch

Dependencies

mice 3.5.0 RcppArmadillo 0.9.500.2.0 mitools 2.4 Rcpp

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, ).

Source

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Release History

• 3.4-17
• 3.3-33
• 3.2-48
• 3.1-37
• 3.0-16
• 2.15-22
• 2.13-63
• 2.12-24
• 2.11-87
• 2.10-14
• 2.9-15
• 2.8-24
• 2.7-19
• 2.6-21
• 2.5-9
• 2.4-12
• 2.3-0
• 2.2-0
• 2.1-0
• 2.0-0
• 1.9-0
• 1.8-0
• 1.7-8
• 1.6-0
• 1.5-0
• 1.4-0
• 1.3-0
• 1.1-1
• 1.0
• 0.14-9
• 0.13-7
• 0.12-9
• 0.11-121