survHC: Higher Criticism Tests for Non-Proportional Hazard Deviations

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>.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	stats, graphics
Suggests:	survival
Published:	2026-10-21
DOI:	10.32614/CRAN.package.survHC (may not be active yet)
Author:	Alon Kipnis [aut, cre], Ben Galili [aut], Zohar Yakhini [aut]
Maintainer:	Alon Kipnis <alonkipnis at gmail.com>
BugReports:	https://github.com/alonkipnis/lifelines-hc/issues
License:	MIT + file LICENSE
URL:	https://github.com/alonkipnis/lifelines-hc/tree/main/R-package/survHC
NeedsCompilation:	no
Citation:	survHC citation info
Materials:	NEWS
CRAN checks:	survHC results

Documentation:

Reference manual:

survHC.html , survHC.pdf

Downloads:

Package source:	survHC_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): survHC_0.1.0.tgz, r-oldrel (arm64): survHC_0.1.0.tgz, r-release (x86_64): survHC_0.1.0.tgz, r-oldrel (x86_64): survHC_0.1.0.tgz

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