Package: mlmi
Type: Package
Title: Maximum Likelihood Multiple Imputation
Version: 1.1.4
Authors@R: person(given = "Jonathan",
                    family = "Bartlett",
                    role = c("aut", "cre"),
                    email = "jonathan.bartlett1@lshtm.ac.uk")
Description: 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.
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Imports: MASS, gsl, norm, cat, mix, Matrix, stats, utils, nlme
Suggests: bootImpute, testthat
Config/pak/sysreqs: libgsl0-dev
Repository: https://jwb133.r-universe.dev
Date/Publication: 2025-12-12 11:41:26 UTC
RemoteUrl: https://github.com/jwb133/mlmi
RemoteRef: HEAD
RemoteSha: b886828d1ac2974a955f31dad6b69b4762653f92
NeedsCompilation: no
Packaged: 2026-06-10 08:24:25 UTC; root
Author: Jonathan Bartlett [aut, cre]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>