pseudoCure
A Pseudo-Observations Approach for Analyzing Survival Data with a Cure Fraction
A collection of easy-to-use tools for regression analysis of survival data with a cure fraction proposed in Su et al. (2022) <doi:10.1177/09622802221108579>. The modeling framework is based on the Cox proportional hazards mixture cure model and the bounded cumulative hazard (promotion time cure) model. The pseudo-observations approach is utilized to assess covariate effects and embedded in the variable selection procedure.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | pseudoCure_1.0.0.tar.gz |
263.6 KiB |
1.0.0 |
rolling linux/noble R-4.5 | pseudoCure_1.0.0.tar.gz |
268.7 KiB |
1.0.0 |
rolling source/ R- | pseudoCure_1.0.0.tar.gz |
37.4 KiB |
1.0.0 |
latest linux/jammy R-4.5 | pseudoCure_1.0.0.tar.gz |
263.6 KiB |
1.0.0 |
latest linux/noble R-4.5 | pseudoCure_1.0.0.tar.gz |
268.7 KiB |
1.0.0 |
latest source/ R- | pseudoCure_1.0.0.tar.gz |
37.4 KiB |
1.0.0 |
2026-04-26 source/ R- | pseudoCure_1.0.0.tar.gz |
37.4 KiB |
1.0.0 |
2026-04-23 source/ R- | pseudoCure_1.0.0.tar.gz |
37.4 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | pseudoCure_1.0.0.zip |
587.5 KiB |
1.0.0 |
2025-04-20 source/ R- | pseudoCure_1.0.0.tar.gz |
37.4 KiB |