SurvMetrics: Predictive Evaluation Metrics in Survival Analysis
An implementation of popular evaluation metrics that are commonly used in survival prediction including Concordance Index, Brier Score, Integrated Brier Score,
Integrated Square Error, Integrated Absolute Error and Mean Absolute Error.
For a detailed information, see (Ishwaran H, Kogalur UB, Blackstone EH and Lauer MS (2008) <doi:10.1214/08-AOAS169>) ,
(Moradian H, Larocque D and Bellavance F (2017) <doi:10.1007/s10985-016-9372-1>), (Hanpu Zhou, Hong Wang, Sizheng Wang and Yi Zou (2023) <doi:10.32614/rj-2023-009>) for different evaluation metrics.
| Version: |
0.5.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
survminer, stats, survival, MASS, pec |
| Suggests: |
knitr, rmarkdown, caret, ggplot2, ggpubr, randomForestSRC, testthat (≥ 3.0.0) |
| Published: |
2025-02-05 |
| DOI: |
10.32614/CRAN.package.SurvMetrics |
| Author: |
Hanpu Zhou [aut],
Xuewei Cheng [aut],
Sizheng Wang [aut],
Yi Zou [aut],
Hong Wang [aut, cre] |
| Maintainer: |
Hong Wang <wh at csu.edu.cn> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/whcsu/SurvMetrics |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
SurvMetrics results |
Documentation:
Downloads:
Reverse dependencies:
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