curesurv: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
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: | 0.1.1 |
| Depends: | R (≥ 3.5), stringr, survival |
| Imports: | numDeriv, stats, randtoolbox, bbmle, optimx, Formula, Deriv, statmod |
| Suggests: | testthat, knitr, rmarkdown, xhaz, survexp.fr |
| Published: | 2024-09-17 |
| DOI: | 10.32614/CRAN.package.curesurv |
| Author: | Juste Goungounga 
[aut, cre],
Judith Breaud
[aut],
Olayide Boussari
[aut],
Valerie Jooste
[aut] |
| Maintainer: | Juste Goungounga <juste.goungounga at ehesp.fr> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | curesurv citation info |
| Materials: | README NEWS |
| CRAN checks: | curesurv results |
Documentation:
| Reference manual: | 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) |
Downloads:
| Package source: | curesurv_0.1.1.tar.gz |
| Windows binaries: | r-devel: curesurv_0.1.1.zip, r-release: curesurv_0.1.1.zip, r-oldrel: curesurv_0.1.1.zip |
| macOS binaries: | r-release (arm64): curesurv_0.1.1.tgz, r-oldrel (arm64): curesurv_0.1.1.tgz, r-release (x86_64): curesurv_0.1.1.tgz, r-oldrel (x86_64): curesurv_0.1.1.tgz |
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