Package: blendR Title: Blended Survival Curves Version: 1.0.0 Authors@R: c( person("Nathan", "Green", , "n.green@ucl.ac.uk", role = "aut", comment = c(ORCID = "0000-0003-2745-1736", ROR = "02jx3x895")), person("Zhaojing", "Che", , "blendr-pkg@proton.me", role = c("aut", "cph", "cre"), comment = c(ORCID = "0000-0003-2245-1606", ROR = "052gg0110")) ) Description: 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) . License: GPL (>= 3) Additional_repositories: https://giabaio.r-universe.dev, https://inla.r-inla-download.org/R/stable Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2.9000 Imports: dplyr, flexsurv, ggplot2, manipulate, sn, survHE, tibble Depends: R (>= 4.4.0) Suggests: INLA, knitr, remotes, rlang, rmarkdown, survHEhmc, survival, testthat (>= 3.0.0) VignetteBuilder: knitr URL: https://github.com/StatisticsHealthEconomics/blendR/, https://StatisticsHealthEconomics.github.io/blendR/ BugReports: https://github.com/StatisticsHealthEconomics/blendR/issues/ Config/testthat/edition: 3 Config/pak/sysreqs: cmake make default-jdk libicu-dev libuv1-dev Repository: https://statisticshealtheconomics.r-universe.dev Date/Publication: 2025-10-16 07:41:13 UTC RemoteUrl: https://github.com/statisticshealtheconomics/blendR RemoteRef: HEAD RemoteSha: 37756194473dd1e41ca4794cf4dbc8de3112fbb9 NeedsCompilation: no Packaged: 2026-06-13 09:04:18 UTC; root Author: Nathan Green [aut] (ORCID: , ROR: ), Zhaojing Che [aut, cph, cre] (ORCID: , ROR: ) Maintainer: Zhaojing Che