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cureAssess  

Assessing Cure Model Appropriateness for Survival Data
View on CRAN: Click here


Download and install cureAssess package within the R console
Install from CRAN:
install.packages("cureAssess")

Install from Github:
library("remotes")
install_github("cran/cureAssess")

Install by package version:
library("remotes")
install_version("cureAssess", "0.1.0")



Attach the package and use:
library("cureAssess")
Maintained by
Geethanjalee Mudunkotuwa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-14
Latest Update: 2026-09-14
Description:
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>.
How to cite:
Geethanjalee Mudunkotuwa (2026). cureAssess: Assessing Cure Model Appropriateness for Survival Data. R package version 0.1.0, https://cran.r-project.org/web/packages/cureAssess. Accessed 24 Oct. 2026.
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