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, ). 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.

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")