The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
DOI: 10.32614/CRAN.package.ImputeLongiCovs
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:

Reference manual: ImputeLongiCovs.pdf
Vignettes: Title of your vignette

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ImputeLongiCovs to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.