Maximum Likelihood Multiple Imputation

Implements so called Maximum Likelihood Multiple Imputation as described by von Hippel (2018) . A number of different imputations are available, by utilising the 'norm', 'cat' and 'mix' packages. Inferences can be performed either using combination rules similar to Rubin's or using a likelihood score based approach based on theory by Wang and Robins (1998) .


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Reference manual

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install.packages("mlmi")

1.0.0 by Jonathan Bartlett, a year ago


Browse source code at https://github.com/cran/mlmi


Authors: Jonathan Bartlett


Documentation:   PDF Manual  


GPL-3 license


Imports MASS, gsl, norm, cat, mix, Matrix, stats, utils

Suggests bootImpute, testthat


See at CRAN