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>) and (Moradian H, Larocque D and Bellavance F (2017) <doi:10.1007/s10985-016-9372-1>) for different evaluation metrics.

Version: 0.5.0
Imports: survminer, stats, survival, MASS, pec, randomForestSRC
Suggests: knitr, rmarkdown, caret, ggplot2, ggpubr, testthat (≥ 3.0.0)
Published: 2022-09-03
Author: Hanpu Zhou [aut, cre], Xuewei Cheng [aut], Sizheng Wang [aut], Yi Zou [aut], Hong Wang [aut]
Maintainer: Hanpu Zhou <zhouhanpu at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SurvMetrics results


Reference manual: SurvMetrics.pdf
Vignettes: SurvMetrics-vignette


Package source: SurvMetrics_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SurvMetrics_0.5.0.tgz, r-oldrel (arm64): SurvMetrics_0.5.0.tgz, r-release (x86_64): SurvMetrics_0.5.0.tgz, r-oldrel (x86_64): SurvMetrics_0.5.0.tgz
Old sources: SurvMetrics archive

Reverse dependencies:

Reverse suggests: aorsf


Please use the canonical form to link to this page.