mlmi: Maximum Likelihood Multiple Imputation

Implements so called Maximum Likelihood Multiple Imputation as described by von Hippel and Bartlett (2019) <arXiv:1210.0870v10>. 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: 1.1.0
Depends: R (≥ 2.10)
Imports: MASS, gsl, norm, cat, mix, Matrix, stats, utils, nlme
Suggests: bootImpute, testthat
Published: 2021-04-26
Author: Jonathan Bartlett
Maintainer: Jonathan Bartlett <j.w.bartlett at bath.ac.uk>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlmi results

Downloads:

Reference manual: mlmi.pdf
Package source: mlmi_1.1.0.tar.gz
Windows binaries: r-devel: mlmi_1.1.0.zip, r-release: mlmi_1.1.0.zip, r-oldrel: mlmi_1.1.0.zip
macOS binaries: r-release: mlmi_1.1.0.tgz, r-oldrel: mlmi_1.1.0.tgz
Old sources: mlmi archive

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