curesurv
0.1.2Mixture 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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 70%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 37%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("curesurv")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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