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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 |
| Reference manual: | ImputeLongiCovs.pdf |
| Vignettes: |
Title of your vignette |
| Package source: | ImputeLongiCovs_0.1.0.tar.gz |
| Windows binaries: | r-devel: ImputeLongiCovs_0.1.0.zip, r-release: ImputeLongiCovs_0.1.0.zip, r-oldrel: ImputeLongiCovs_0.1.0.zip |
| macOS binaries: | r-release (arm64): ImputeLongiCovs_0.1.0.tgz, r-oldrel (arm64): ImputeLongiCovs_0.1.0.tgz, r-release (x86_64): ImputeLongiCovs_0.1.0.tgz, r-oldrel (x86_64): ImputeLongiCovs_0.1.0.tgz |
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