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ImputeLongiCovs  

Longitudinal Imputation of Categorical Variables via a Joint Transition Model
View on CRAN: Click here


Download and install ImputeLongiCovs package within the R console
Install from CRAN:
install.packages("ImputeLongiCovs")

Install from Github:
library("remotes")
install_github("cran/ImputeLongiCovs")

Install by package version:
library("remotes")
install_version("ImputeLongiCovs", "0.1.0")



Attach the package and use:
library("ImputeLongiCovs")
Maintained by
Pavlos Mamouris
[Scholar Profile | Author Map]
First Published: 2023-10-06
Latest Update: 2023-10-06
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) for an overview.
How to cite:
Pavlos Mamouris (2023). ImputeLongiCovs: Longitudinal Imputation of Categorical Variables via a Joint Transition Model. R package version 0.1.0, https://cran.r-project.org/web/packages/ImputeLongiCovs. Accessed 17 Feb. 2025.
Previous versions and publish date:
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