mlmi: Maximum Likelihood Multiple Imputation (original) (raw)
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 |
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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 lshtm.ac.uk> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | MissingData |
CRAN checks: | mlmi results |
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