Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators R package curesurv version 0.1.2 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>. Software Depends: R (>= 3.5), stringr, survival Imports: numDeriv, stats, randtoolbox, bbmle, optimx, Formula, Deriv, statmod Suggests: testthat, knitr, rmarkdown, xhaz, survexp.fr Juste Goungounga <juste.goungounga@ehesp.fr> Comprehensive R Archive Network (CRAN) Juste Goungounga [aut, cre] (ORCID: <https://orcid.org/0000-0002-9039-2639>), Judith Breaud [aut] (ORCID: <https://orcid.org/0009-0001-1432-6883>), Olayide Boussari [aut] (ORCID: <https://orcid.org/0000-0002-0343-853X>), Laura Botta [ctb] (ORCID: <https://orcid.org/0000-0002-2793-5338>), Valerie Jooste [aut] (ORCID: <https://orcid.org/0000-0002-9902-0700>) GPL (>= 3) 2025-03-07 application/tgz https://CRAN.R-project.org/package=curesurv doi:10.32614/CRAN.package.curesurv