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
| Version | Repository | File | Size |
|---|---|---|---|
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 |