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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 |
Reference manual: | KONPsurv.pdf |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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