mlmi: Maximum Likelihood Multiple Imputation
Implements proper and so-called Maximum Likelihood Multiple Imputation as described by von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>. A number of different imputation methods are available, by utilising the 'norm', 'cat' and 'mix' packages. Inferences can be performed either using Rubin's rules (for proper imputation), or a modified version for maximum likelihood imputation. For maximum likelihood imputations a likelihood score based approach based on theory by Wang and Robins (1998) <doi:10.1093/biomet/85.4.935> is also available.
| Version: | 1.1.3 |
| Depends: | R (≥ 2.10) |
| Imports: | MASS,gsl,norm,cat,mix,Matrix, stats, utils,nlme |
| Suggests: | bootImpute,testthat |
| Published: | 2025-12-03 |
| DOI: | 10.32614/CRAN.package.mlmi |
| Author: | Jonathan Bartlett [aut, cre] |
| Maintainer: | Jonathan Bartlett <jonathan.bartlett1 at lshtm.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| In views: | MissingData |
| CRAN checks: | mlmi results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=mlmito link to this page.