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FunSurv: Modeling Time-to-Event Data with Functional Predictors
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.
Getting started
Browse package contents
Package details |
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| Author | Zifang Kong [aut, cre], Sy Han (Steven) Chiou [aut], Yu-Lun Liu [aut] |
| Maintainer | Zifang Kong <zkong@smu.edu> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| URL | https://github.com/zifangkong/FunSurv |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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