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curesurv: Mixture and Non Mixture Parametric Cure Models to Estimate CureIndicators

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 GoungoungaORCID iD [aut, cre], Judith BreaudORCID iD [aut], Olayide BoussariORCID iD [aut], Laura BottaORCID iD [ctb], Valerie JoosteORCID iD [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.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)

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=curesurvto link to this page.


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