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>.
| Version: | 0.1.2 | 
| Depends: | R (≥ 3.5), stringr, survival | 
| Imports: | numDeriv, stats, randtoolbox, bbmle, optimx, Formula, Deriv, statmod | 
| Suggests: | testthat, knitr, rmarkdown, xhaz, survexp.fr | 
| Published: | 2025-03-07 | 
| DOI: | 10.32614/CRAN.package.curesurv | 
| Author: | Juste Goungounga | 
| Maintainer: | Juste Goungounga <juste.goungounga at ehesp.fr> | 
| License: | GPL (≥ 3) | 
| NeedsCompilation: | no | 
| Citation: | curesurv citation info | 
| Materials: | README, NEWS | 
| CRAN checks: | curesurv results | 
| Reference manual: | curesurv.html , curesurv.pdf | 
| Vignettes: | Vignette_tneh (source, R code) How to estimate a new mixture cure model for increased risk of non cancer death (source, R code) | 
| Package source: | curesurv_0.1.2.tar.gz | 
| Windows binaries: | r-devel: curesurv_0.1.2.zip, r-release: curesurv_0.1.2.zip, r-oldrel: curesurv_0.1.2.zip | 
| macOS binaries: | r-release (arm64): curesurv_0.1.2.tgz, r-oldrel (arm64): curesurv_0.1.2.tgz, r-release (x86_64): curesurv_0.1.2.tgz, r-oldrel (x86_64): curesurv_0.1.2.tgz | 
| Old sources: | curesurv archive | 
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