Provides flexible and efficient tools for integrating external risk scores into Cox proportional hazards models while accounting for population heterogeneity. Enables robust estimation, improved predictive accuracy, and user-friendly workflows for modern survival analysis. For more information, see Wang et al. (2023) <doi:10.48550/arXiv.2302.11123>.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.0) |
| Imports: | Rcpp, ggplot2, stats, cowplot, Matrix, rlang |
| LinkingTo: | Rcpp, RcppArmadillo, RcppParallel |
| Suggests: | knitr, rmarkdown, survival |
| Published: | 2026-04-21 |
| DOI: | 10.32614/CRAN.package.survkl |
| Author: | Yubo Shao [aut, cre], Lingfeng Luo [aut], Xiaohan Liu [aut], Junyi Qiu [aut], Di Wang [aut], Kevin He [aut] |
| Maintainer: | Yubo Shao <ybshao at umich.edu> |
| License: | GPL-3 |
| URL: | https://um-kevinhe.github.io/survkl/ |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README, NEWS |
| CRAN checks: | survkl results |
| Reference manual: | survkl.html , survkl.pdf |
| Vignettes: |
Methods for Transfer-learning Based Integrated Cox Models (source) survkl: Transfer-Learning Based Integrated Cox Models (source, R code) |
| Package source: | survkl_1.0.0.tar.gz |
| Windows binaries: | r-devel: survkl_1.0.0.zip, r-release: survkl_1.0.0.zip, r-oldrel: survkl_1.0.0.zip |
| macOS binaries: | r-release (arm64): survkl_1.0.0.tgz, r-oldrel (arm64): survkl_1.0.0.tgz, r-release (x86_64): survkl_1.0.0.tgz, r-oldrel (x86_64): survkl_1.0.0.tgz |
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