Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
Overview
Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) doi:10.1002/sim.1101 The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) doi:10.1111/biom.13361.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 104 (91 internal)includes a package overview page
- Examples that run
- 70%7 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 25%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 37%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.2Latest
- 0.1.12024-09-17
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-09-17
- Total releases
- 2 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 287 KB / 3 files
- Download size
- 1.6 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("curesurv")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.