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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:

Please use the canonical formhttps://CRAN.R-project.org/package=KONPsurvto link to this page.


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