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curesurv  

Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("curesurv", "0.1.2")



Attach the package and use:
library("curesurv")
Maintained by
Juste Goungounga
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-17
Latest Update: 2025-03-07
Description:
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>.
How to cite:
Juste Goungounga (2024). curesurv: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators. R package version 0.1.2, https://cran.r-project.org/web/packages/curesurv. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:29), 0.1.1 (2024-09-17 18:20)
Other packages that cited curesurv R package
View curesurv citation profile
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Complete documentation for curesurv
Functions, R codes and Examples using the curesurv R package
Full curesurv package functions and examples
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