Other packages > Find by keyword >

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 04 Jul. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited blendR R package
View blendR citation profile
Other R packages that blendR depends, imports, suggests or enhances
Complete documentation for blendR
Functions, R codes and Examples using the blendR R package
Full blendR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

multiwayvcov  
Multi-Way Standard Error Clustering
Exports two functions implementing multi-way clustering using the method suggested by Cameron, Gelb ...
Download / Learn more Package Citations See dependency  
missCompare  
Intuitive Missing Data Imputation Framework
Offers a convenient pipeline to test and compare various missing data imputation algorithms on simu ...
Download / Learn more Package Citations See dependency  
musica  
Multiscale Climate Model Assessment
Provides functions allowing for (1) easy aggregation of multivariate time series into custom time sc ...
Download / Learn more Package Citations See dependency  
SurvCorr  
Correlation of Bivariate Survival Times
Estimates correlation coefficients with associated confidence limits for bivariate, partially censo ...
Download / Learn more Package Citations See dependency  
PELVIS  
Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
An R-Shiny application implementing a method of sexing the human os coxae based on logistic regressi ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

27,653

R Packages

236,180

Dependencies

73,674

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA