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blendR  

Blended Survival Curves
View on CRAN: Click here


Download and install blendR package within the R console
Install from CRAN:
install.packages("blendR")

Install from Github:
library("remotes")
install_github("cran/blendR")

Install by package version:
library("remotes")
install_version("blendR", "1.0.0")



Attach the package and use:
library("blendR")
Maintained by
Zhaojing Che
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-03
Latest Update: 2025-09-03
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) <doi:10.1177/0272989X221134545>.
How to cite:
Zhaojing Che (2025). blendR: Blended Survival Curves. R package version 1.0.0, https://cran.r-project.org/web/packages/blendR. Accessed 07 Mar. 2026.
Previous versions and publish date:
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Complete documentation for blendR
Functions, R codes and Examples using the blendR R package
Full blendR package functions and examples
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