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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.4 |
2026-04-09 windows/windows R-4.5 | KONPsurv_1.0.4.zip |
443.2 KiB |