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cff-version: 1.2.0
message: 'To cite package "cureAssess" in publications use:'
type: software
license: MIT
title: 'cureAssess: Assessing Cure Model Appropriateness for Survival Data'
version: 0.1.0
doi: 10.32614/CRAN.package.cureAssess
abstract: 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) <https://doi.org/10.1093/biomet/79.4.731>
  and Maller and Zhou (1994) <https://doi.org/10.1080/01621459.1994.10476889>, the
  test of Shen (2000) <https://doi.org/10.1016/S0167-7152(00)00063-8>, and the ratio
  estimation of censored uncured subjects ('RECeUS') method of Selukar and Othus (2023)
  <https://doi.org/10.1002/sim.9610>.
authors:
- family-names: Mudunkotuwa
  given-names: Geethanjalee
  email: geethanjaleem@gmail.com
- family-names: Ghosh
  given-names: Durbadal
  email: reevu7@gmail.com
repository: https://geethanjaleem.r-universe.dev
repository-code: https://github.com/GeethanjaleeM/cureAssess
commit: 1d37cf0148ce5e5131a07753499856bd24cbadd0
url: https://github.com/GeethanjaleeM/cureAssess
date-released: '2026-09-02'
contact:
- family-names: Mudunkotuwa
  given-names: Geethanjalee
  email: geethanjaleem@gmail.com