mlmi: Maximum Likelihood Multiple Imputation

Implements so called Maximum Likelihood Multiple Imputation as described by von Hippel (2018) <arXiv:1210.0870v9>. 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: 1.0.0
Depends: R (≥ 2.10)
Imports: MASS, gsl, norm, cat, mix, Matrix, stats, utils
Suggests: bootImpute, testthat
Published: 2019-08-02
Author: Jonathan Bartlett
Maintainer: Jonathan Bartlett <j.w.bartlett at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: mlmi results


Reference manual: mlmi.pdf
Package source: mlmi_1.0.0.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: mlmi_1.0.0.tgz, r-oldrel: mlmi_1.0.0.tgz


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