KONPsurv: KONP Tests: Powerful K-Sample Tests for Right-Censored Data

The K-sample omnibus non-proportional hazards (KONP) tests are powerful non-parametric tests for comparing K (>=2) hazard functions based on right-censored data (Gorfine, Schlesinger and Hsu, 2020, <doi:10.1177/0962280220907355>). These tests are consistent against any differences between the hazard functions of the groups. The KONP tests are often more powerful than other existing tests, especially under non-proportional hazard functions.

Version:	1.0.4
Imports:	survival, Rcpp (≥ 0.12.16)
LinkingTo:	Rcpp
Suggests:	testthat
Published:	2022-01-03
DOI:	10.32614/CRAN.package.KONPsurv
Author:	Matan Schlesinger [cre, aut], Malka Gorfine [aut]
Maintainer:	Matan Schlesinger <matan.schles at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Materials:	README
In views:	Survival
CRAN checks:	KONPsurv results

Documentation:

Reference manual:

KONPsurv.html , KONPsurv.pdf

Downloads:

Package source:	KONPsurv_1.0.4.tar.gz
Windows binaries:	r-devel: KONPsurv_1.0.4.zip, r-release: KONPsurv_1.0.4.zip, r-oldrel: KONPsurv_1.0.4.zip
macOS binaries:	r-release (arm64): KONPsurv_1.0.4.tgz, r-oldrel (arm64): KONPsurv_1.0.4.tgz, r-release (x86_64): KONPsurv_1.0.4.tgz, r-oldrel (x86_64): KONPsurv_1.0.4.tgz
Old sources:	KONPsurv archive

Reverse dependencies:

Reverse suggests:

tram

Linking:

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