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: 0.3.5
Imports: survminer, stats, survival, MASS
Suggests: knitr, rmarkdown, randomForestSRC, caret, ggplot2, ggpubr, pec
Published: 2021-08-10
Author: Hanpu Zhou [aut, cre], Xuewei Cheng [aut], Sizheng Wang [aut], Yi Zou [aut], Hong Wang [aut]
Maintainer: Hanpu Zhou <zhouhanpu at csu.edu.cn>
BugReports: https://github.com/skyee1/SurvMetrics/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/skyee1/SurvMetrics
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SurvMetrics results

Documentation:

Reference manual: SurvMetrics.pdf
Vignettes: SurvMetrics-vignette

Downloads:

Package source: SurvMetrics_0.3.5.tar.gz
Windows binaries: r-devel: SurvMetrics_0.3.5.zip, r-release: SurvMetrics_0.3.5.zip, r-oldrel: SurvMetrics_0.3.5.zip
macOS binaries: r-release (arm64): SurvMetrics_0.3.5.tgz, r-release (x86_64): SurvMetrics_0.3.5.tgz, r-oldrel: SurvMetrics_0.3.5.tgz

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