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 | 
| 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 | 
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