KONP Tests: Powerful K-Sample Tests for Right-Censored Data R package KONPsurv version 1.0.4 CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival) 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. Software Imports: survival,Rcpp (>= 0.12.16) LinkingTo: Rcpp Suggests: testthat Matan Schlesinger <matan.schles@gmail.com> Comprehensive R Archive Network (CRAN) Matan Schlesinger [cre, aut], Malka Gorfine [aut] GPL (>= 2) 2022-01-03 application/tgz https://CRAN.R-project.org/package=KONPsurv doi:10.32614/CRAN.package.KONPsurv