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CRAN: Package mlmi

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: 1.1.2 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 Documentation: Downloads: Linking:

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