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, 2019, <arXiv:1901.05739v1>). 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: 1.0.3
Imports: survival, Rcpp (≥ 0.12.16)
LinkingTo: Rcpp
Suggests: testthat
Published: 2020-03-02
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
CRAN checks: KONPsurv results


Reference manual: KONPsurv.pdf


Package source: KONPsurv_1.0.3.tar.gz
Windows binaries: r-devel: KONPsurv_1.0.3.zip, r-devel-UCRT: KONPsurv_1.0.3.zip, r-release: KONPsurv_1.0.3.zip, r-oldrel: KONPsurv_1.0.3.zip
macOS binaries: r-release (arm64): KONPsurv_1.0.3.tgz, r-release (x86_64): KONPsurv_1.0.3.tgz, r-oldrel: KONPsurv_1.0.3.tgz
Old sources: KONPsurv archive


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