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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.

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VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 ImputeLongiCovs_0.1.0.tar.gz 430.2 KiB
0.1.0 rolling linux/noble R-4.5 ImputeLongiCovs_0.1.0.tar.gz 430.2 KiB
0.1.0 rolling source/ R- ImputeLongiCovs_0.1.0.tar.gz 486.8 KiB
0.1.0 latest source/ R- ImputeLongiCovs_0.1.0.tar.gz 486.8 KiB
0.1.0 latest linux/jammy R-4.5 ImputeLongiCovs_0.1.0.tar.gz 430.2 KiB
0.1.0 latest linux/noble R-4.5 ImputeLongiCovs_0.1.0.tar.gz 430.2 KiB
0.1.0 2026-04-26 source/ R- ImputeLongiCovs_0.1.0.tar.gz 486.8 KiB
0.1.0 2026-04-23 source/ R- ImputeLongiCovs_0.1.0.tar.gz 486.8 KiB
0.1.0 2026-04-09 windows/windows R-4.5 ImputeLongiCovs_0.1.0.zip 432.9 KiB
0.1.0 2025-04-20 source/ R- ImputeLongiCovs_0.1.0.tar.gz 486.8 KiB

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