mlmi: Maximum Likelihood Multiple Imputation

Implements so called Maximum Likelihood Multiple Imputation as described by von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>. 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) <doi:10.1093/biomet/85.4.935>.

Version: 1.1.2
Depends: R (≥ 2.10)
Imports: MASS, gsl, norm, cat, mix, Matrix, stats, utils, nlme
Suggests: bootImpute, testthat
Published: 2023-06-02
DOI: 10.32614/CRAN.package.mlmi
Author: Jonathan Bartlett
Maintainer: Jonathan Bartlett <jonathan.bartlett1 at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
In views: MissingData
CRAN checks: mlmi results


Reference manual: mlmi.pdf


Package source: mlmi_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlmi_1.1.2.tgz, r-oldrel (arm64): mlmi_1.1.2.tgz, r-release (x86_64): mlmi_1.1.2.tgz, r-oldrel (x86_64): mlmi_1.1.2.tgz
Old sources: mlmi archive


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