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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.
Package details |
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Author | Matan Schlesinger [cre, aut], Malka Gorfine [aut] |
Maintainer | Matan Schlesinger <matan.schles@gmail.com> |
License | GPL (>= 2) |
Version | 1.0.4 |
Package repository | View on CRAN |
Installation |
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