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>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
survival, flexsurv, flexsurvcure, survminer, ggplot2, dplyr, stats |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-09-14 |
| DOI: |
10.32614/CRAN.package.cureAssess (may not be active yet) |
| Author: |
Geethanjalee Mudunkotuwa [aut, cre, cph],
Durbadal Ghosh [aut] |
| Maintainer: |
Geethanjalee Mudunkotuwa <geethanjaleem at gmail.com> |
| BugReports: |
https://github.com/GeethanjaleeM/cureAssess/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/GeethanjaleeM/cureAssess |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
cureAssess results |
Documentation:
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