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: 2023-10-06 10:30:02 UTC; u0112219
Author: Pavlos Mamouris [aut, cre],
  Vahid Nassiri [aut, ctb],
  Geert Molenberghs [ctb],
  Geert Verbeke [ctb]
Maintainer: Pavlos Mamouris <pavlos.k.mamouris@gmail.com>
Repository: CRAN
Date/Publication: 2023-10-06 16:40:05 UTC
Built: R 4.6.0; ; 2026-04-26 20:12:49 UTC; unix
