blendR: Blended Survival Curves
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>.
| Version: | 1.0.0 |
| 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) |
| Published: | 2025-09-03 |
| DOI: | 10.32614/CRAN.package.blendR |
| Author: | Nathan Green  [aut], Zhaojing Che [aut, cph, cre] |
| Maintainer: | Zhaojing Che <blendr-pkg at proton.me> |
| BugReports: | https://github.com/StatisticsHealthEconomics/blendR/issues/ |
| License: | GPL (≥ 3) |
| URL: | https://github.com/StatisticsHealthEconomics/blendR/,https://StatisticsHealthEconomics.github.io/blendR/ |
| NeedsCompilation: | no |
| Additional_repositories: | https://giabaio.r-universe.dev,https://inla.r-inla-download.org/R/stable |
| Materials: | README,NEWS |
| CRAN checks: | blendR results |
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