Package: ImputeLongiCovs
Type: Package
Title: Longitudinal Imputation of Categorical Variables via a Joint
        Transition Model
Version: 0.1.0
Authors@R: c(
    person("Pavlos", "Mamouris",role = c("aut", "cre"), email = "pavlos.k.mamouris@gmail.com"),
    person("Vahid", "Nassiri",role = c("aut", "ctb"), email= "vahid.nassiri@openanalytics.eu"),
    person("Geert", "Molenberghs",role = c("ctb"), email= "geert.molenberghs@uhasselt.be"),
    person("Geert", "Verbeke",role = c("ctb"), email= "geert.verbeke@kuleuven.be"))
Description: Imputation of longitudinal categorical covariates. We use
        a methodological framework which ensures that the plausibility
        of transitions is preserved, overfitting and colinearity issues
        are resolved, and confounders can be utilized. See Mamouris
        (2023) <doi:10.1002/sim.9919> for an overview.
Depends: R (>= 3.4.4)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: nnet, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-08 09:27:56 UTC; root
Author: Pavlos Mamouris [aut, cre], Vahid Nassiri [aut, ctb], Geert
        Molenberghs [ctb], Geert Verbeke [ctb]
Maintainer: Pavlos Mamouris <pavlos.k.mamouris@gmail.com>
Repository: https://pmamouris.r-universe.dev
Date/Publication: 2023-10-06 18:32:29 UTC
RemoteUrl: https://github.com/cran/ImputeLongiCovs
RemoteRef: HEAD
RemoteSha: be25a6c63e894f640eeeab00178d08674eaa8db8