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SurvImpute

Multiple Imputation for Missing Covariates in Time-to-Event Data

Generates multiple imputed datasets from a substantive model compatible fully conditional specification model for time-to-event data. Our method assumes that the censoring process also depends on the covariates with missing values. Details will be available in an upcoming publication.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 SurvImpute_0.1.0.tar.gz 63.3 KiB
0.1.0 rolling linux/noble R-4.5 SurvImpute_0.1.0.tar.gz 63.2 KiB
0.1.0 rolling source/ R- SurvImpute_0.1.0.tar.gz 8.8 KiB
0.1.0 latest linux/jammy R-4.5 SurvImpute_0.1.0.tar.gz 63.3 KiB
0.1.0 latest linux/noble R-4.5 SurvImpute_0.1.0.tar.gz 63.2 KiB
0.1.0 latest source/ R- SurvImpute_0.1.0.tar.gz 8.8 KiB
0.1.0 2026-04-26 source/ R- SurvImpute_0.1.0.tar.gz 8.8 KiB
0.1.0 2026-04-23 source/ R- SurvImpute_0.1.0.tar.gz 8.8 KiB
0.1.0 2026-04-09 windows/windows R-4.5 SurvImpute_0.1.0.zip 65.9 KiB
0.1.0 2025-04-20 source/ R- SurvImpute_0.1.0.tar.gz 8.8 KiB

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