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:	1.1.1
Depends:	R (≥ 2.10)
Imports:	MASS, gsl, norm, cat, mix, Matrix, stats, utils, nlme
Suggests:	bootImpute, testthat
Published:	2021-11-20
Author:	Jonathan Bartlett
Maintainer:	Jonathan Bartlett <j.w.bartlett at bath.ac.uk>
License:	GPL-3
NeedsCompilation:	no
Materials:	README NEWS
In views:	MissingData
CRAN checks:	mlmi results

Documentation:

Reference manual:

mlmi.pdf

Downloads:

Package source:	mlmi_1.1.1.tar.gz
Windows binaries:	r-devel: mlmi_1.1.1.zip, r-release: mlmi_1.1.1.zip, r-oldrel: mlmi_1.1.1.zip
macOS binaries:	r-release (arm64): mlmi_1.1.1.tgz, r-release (x86_64): mlmi_1.1.1.tgz, r-oldrel: mlmi_1.1.1.tgz
Old sources:	mlmi archive

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