cureAssess
Assessing Cure Model Appropriateness for Survival Data
Assesses whether cure models are appropriate for right-censored survival data, where a fraction of subjects may never experience the event of interest. Implements a two-stage workflow combining Kaplan-Meier visualization and comparison of parametric cure and non-cure models by the Akaike information criterion with formal diagnostics for sufficient follow-up and for the presence of a cured fraction. The diagnostics include the statistics of Maller and Zhou (1992) <doi:10.1093/biomet/79.4.731> and Maller and Zhou (1994) <doi:10.1080/01621459.1994.10476889>, the test of Shen (2000) <doi:10.1016/S0167-7152(00)00063-8>, and the ratio estimation of censored uncured subjects ('RECeUS') method of Selukar and Othus (2023) <doi:10.1002/sim.9610>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | cureAssess_0.1.0.tar.gz |
172.5 KiB |
0.1.0 |
rolling linux/noble R-4.5 | cureAssess_0.1.0.tar.gz |
172.4 KiB |
0.1.0 |
rolling source/ R- | cureAssess_0.1.0.tar.gz |
90.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | cureAssess_0.1.0.tar.gz |
172.5 KiB |
0.1.0 |
latest linux/noble R-4.5 | cureAssess_0.1.0.tar.gz |
172.4 KiB |
0.1.0 |
latest source/ R- | cureAssess_0.1.0.tar.gz |
90.1 KiB |
0.1.0 |
2026-04-23 source/ R- | cureAssess_0.1.0.tar.gz |
0 B |