ImputeLongiCovs: Longitudinal Imputation of Categorical Variables via a Joint
Transition Model
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.
Version: |
0.1.0 |
Depends: |
R (≥ 3.4.4) |
Imports: |
nnet, stats |
Suggests: |
knitr, rmarkdown |
Published: |
2023-10-06 |
Author: |
Pavlos Mamouris [aut, cre],
Vahid Nassiri [aut, ctb],
Geert Molenberghs [ctb],
Geert Verbeke [ctb] |
Maintainer: |
Pavlos Mamouris <pavlos.k.mamouris at gmail.com> |
License: |
GPL-2 |
NeedsCompilation: |
no |
CRAN checks: |
ImputeLongiCovs results |
Documentation:
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