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.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | MFPCA,MASS,funData,Matrix,ggplot2, methods,reda (≥0.5.0) |
| Published: | 2025-03-17 |
| DOI: | 10.32614/CRAN.package.FunSurv |
| Author: | Zifang Kong [aut, cre], Sy Han (Steven) Chiou [aut], Yu-Lun Liu [aut] |
| Maintainer: | Zifang Kong <zkong at smu.edu> |
| BugReports: | https://github.com/zifangkong/FunSurv/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/zifangkong/FunSurv |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | FunSurv results |
| Reference manual: | FunSurv.html ,FunSurv.pdf |
| Package source: | FunSurv_1.0.0.tar.gz |
| Windows binaries: | r-devel:FunSurv_1.0.0.zip, r-release:FunSurv_1.0.0.zip, r-oldrel:FunSurv_1.0.0.zip |
| macOS binaries: | r-release (arm64):FunSurv_1.0.0.tgz, r-oldrel (arm64):FunSurv_1.0.0.tgz, r-release (x86_64):FunSurv_1.0.0.tgz, r-oldrel (x86_64):FunSurv_1.0.0.tgz |
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