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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 |
| 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 |
| Reference manual: | mlmi.pdf |
| Package source: | mlmi_1.1.2.tar.gz |
| Windows binaries: | r-devel: mlmi_1.1.2.zip, r-release: mlmi_1.1.2.zip, r-oldrel: mlmi_1.1.2.zip |
| macOS binaries: | r-release (arm64): mlmi_1.1.2.tgz, r-oldrel (arm64): mlmi_1.1.2.tgz, r-release (x86_64): mlmi_1.1.2.tgz, r-oldrel (x86_64): mlmi_1.1.2.tgz |
| Old sources: | mlmi archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.