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 bath.ac.uk> |
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: mlmi_1.0.0.zip, r-release: mlmi_1.0.0.zip, r-oldrel: mlmi_1.0.0.zip |
macOS binaries: | r-release: mlmi_1.0.0.tgz, r-oldrel: mlmi_1.0.0.tgz |
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