CondiS
Censored Data Imputation for Direct Modeling
Impute the survival times for censored observations based on their conditional survival distributions derived from the Kaplan-Meier estimator. 'CondiS' can replace the censored observations with the best approximations from the statistical model, allowing for direct application of machine learning-based methods. When covariates are available, 'CondiS' is extended by incorporating the covariate information through machine learning-based regression modeling ('CondiS_X'), which can further improve the imputed survival time.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | CondiS_0.1.2.tar.gz |
35.5 KiB |
0.1.2 |
rolling linux/noble R-4.5 | CondiS_0.1.2.tar.gz |
35.4 KiB |
0.1.2 |
rolling source/ R- | CondiS_0.1.2.tar.gz |
21.7 KiB |
0.1.2 |
latest linux/jammy R-4.5 | CondiS_0.1.2.tar.gz |
35.5 KiB |
0.1.2 |
latest linux/noble R-4.5 | CondiS_0.1.2.tar.gz |
35.4 KiB |
0.1.2 |
latest source/ R- | CondiS_0.1.2.tar.gz |
21.7 KiB |
0.1.2 |
2026-04-26 source/ R- | CondiS_0.1.2.tar.gz |
21.7 KiB |
0.1.2 |
2026-04-23 source/ R- | CondiS_0.1.2.tar.gz |
21.7 KiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | CondiS_0.1.2.zip |
38.6 KiB |
0.1.2 |
2025-04-20 source/ R- | CondiS_0.1.2.tar.gz |
21.7 KiB |