miceadds: 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, <doi:10.18637/jss.v045.i03>) are included. 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), and nested multiple imputation (Rubin, 2003, <doi:10.1111/1467-9574.00217>).

Package details

Author Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [aut]
MaintainerAlexander Robitzsch <[email protected]>
LicenseGPL (>= 2)
Version2.15-22
URL https://github.com/alexanderrobitzsch/miceadds https://sites.google.com/site/alexanderrobitzsch2/software
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("miceadds")

Try the miceadds package in your browser

Any scripts or data that you put into this service are public.

miceadds documentation built on Oct. 19, 2018, 5:05 p.m.