Blended Survival Curves R package blendR version 1.0.0 Create a blended curve from two survival curves, which is particularly useful for survival extrapolation in health technology assessment. The main idea is to mix a flexible model that fits the observed data well with a parametric model that encodes assumptions about long-term survival. The two curves are blended into a single survival curve that is identical to the first model over the range of observed times and gradually approaches the parametric model over the extrapolation period based on a given weight function. This approach allows for the inclusion of external information, such as data from registries or expert opinion, to guide long-term extrapolations, especially when dealing with immature trial data. See Che et al. (2022) <doi:10.1177/0272989X221134545>. Software Depends: R (>= 4.4.0) Imports: dplyr, flexsurv, ggplot2, manipulate, sn, survHE, tibble Suggests: INLA, knitr, remotes, rlang, rmarkdown, survHEhmc, survival, testthat (>= 3.0.0) Zhaojing Che <blendr-pkg@proton.me> Comprehensive R Archive Network (CRAN) Nathan Green [aut] (ORCID: <https://orcid.org/0000-0003-2745-1736>, ROR: <https://ror.org/02jx3x895>), Zhaojing Che [aut, cph, cre] (ORCID: <https://orcid.org/0000-0003-2245-1606>, ROR: <https://ror.org/052gg0110>) GPL (>= 3) 2025-09-03 application/tgz https://CRAN.R-project.org/package=blendR doi:10.32614/CRAN.package.blendR