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.
https://anaconda.org/r/r-konpsurv/badges/version.svg
https://anaconda.org/r/r-konpsurv/badges/latest_release_date.svg
https://anaconda.org/r/r-konpsurv/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-konpsurv/badges/platforms.svg
https://anaconda.org/r/r-konpsurv/badges/license.svg
https://anaconda.org/r/r-konpsurv/badges/downloads.svg