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

Documentation:

Reference manual:

blendR.html , blendR.pdf

Downloads:

Package source:	blendR_1.0.0.tar.gz
Windows binaries:	r-devel: blendR_1.0.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): blendR_1.0.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): blendR_1.0.0.tgz, r-oldrel (x86_64): blendR_1.0.0.tgz

Linking:

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