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survHC  

Higher Criticism Tests for Non-Proportional Hazard Deviations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("survHC", "0.1.0")



Attach the package and use:
library("survHC")
Maintained by
Alon Kipnis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-10-21
Latest Update: 2026-10-21
Description:
Implements omnibus tests for comparing two right-censored survival samples that are powerful against sparse departures from equal hazards, where the hazard difference is concentrated in a small and a priori unknown subset of the follow-up. Exact hypergeometric p-values are computed for each time interval and aggregated with the Higher Criticism statistic of Donoho and Jin (2004) <doi:10.1214/009053604000000265>, or alternatively with the Berk-Jones, Fisher or minimum-p statistics. Global p-values are obtained by permuting group labels, and the intervals driving a detection can be recovered for diagnostic plotting. Tests accept either two samples as vectors or the usual survival formula. The method is described in Kipnis, Galili and Yakhini (2026) <doi:10.1093/biomet/asaf075>, and the companion application note is Kipnis, Galili and Yakhini (2026) <doi:10.48550/arXiv.2610.07268>.
How to cite:
Alon Kipnis (2026). survHC: Higher Criticism Tests for Non-Proportional Hazard Deviations. R package version 0.1.0, https://cran.r-project.org/web/packages/survHC. Accessed 25 Oct. 2026.
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