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FunSurv  

Modeling Time-to-Event Data with Functional Predictors
View on CRAN: Click here


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

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

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



Attach the package and use:
library("FunSurv")
Maintained by
Zifang Kong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-17
Latest Update: 2025-03-17
Description:
A collection of methods for modeling time-to-event data using both functional and scalar predictors. It implements functional data analysis techniques for estimation and inference, allowing researchers to assess the impact of functional covariates on survival outcomes, including time-to-single event and recurrent event outcomes.
How to cite:
Zifang Kong (2025). FunSurv: Modeling Time-to-Event Data with Functional Predictors. R package version 1.0.0, https://cran.r-project.org/web/packages/FunSurv. Accessed 24 Oct. 2026.
Previous versions and publish date:
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View FunSurv citation profile
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Complete documentation for FunSurv
Functions, R codes and Examples using the FunSurv R package
Full FunSurv package functions and examples
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