Description
KONP Tests: Powerful K-Sample Tests for Right-Censored Data.
Description
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.
README.md
KONPsurv
KONPsurv is an R package of The K-sample omnibus non-proportional hazards (KONP) tests, which are powerful non-parametric tests for comparing K (>=2) hazard functions based on right-censored data.
Installation
For latest CRAN (stable build), run:
install.packages("KONPsurv")
For lastest development version run:
install.packages("devtools")
devtools::install_github("matan-schles/KONPsurv")