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SurvMetrics  

Predictive Evaluation Metrics in Survival Analysis
View on CRAN: Click here


Download and install SurvMetrics package within the R console
Install from CRAN:
install.packages("SurvMetrics")

Install from Github:
library("remotes")
install_github("cran/SurvMetrics")

Install by package version:
library("remotes")
install_version("SurvMetrics", "0.5.1")



Attach the package and use:
library("SurvMetrics")
Maintained by
Hanpu Zhou
[Scholar Profile | Author Map]
First Published: 2021-08-10
Latest Update: 2022-09-03
Description:
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.
How to cite:
Hanpu Zhou (2021). SurvMetrics: Predictive Evaluation Metrics in Survival Analysis. R package version 0.5.1, https://cran.r-project.org/web/packages/SurvMetrics. Accessed 21 Apr. 2025.
Previous versions and publish date:
0.3.5 (2021-08-10 14:20), 0.4.0 (2022-01-07 13:12), 0.4.5 (2022-03-08 17:40), 0.5.0 (2022-09-03 23:40)
Other packages that cited SurvMetrics R package
View SurvMetrics citation profile
Other R packages that SurvMetrics depends, imports, suggests or enhances
Complete documentation for SurvMetrics
Functions, R codes and Examples using the SurvMetrics R package
Some associated functions: Brier . Cindex . CindexCR . Gt . IAEISE . IBS . MAE . SDGM1 . SDGM2 . SDGM3 . SDGM4 . predictSurvProb2survreg . 
Some associated R codes: Brier.R . Cindex.R . CindexCR.R . Gt.R . IAEISE.R . IBS.R . MAE.R . SDGM1.R . SDGM2.R . SDGM3.R . SDGM4.R . predictSurvProb2survreg.R .  Full SurvMetrics package functions and examples
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