matan-schles/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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Matan Schlesinger [cre, aut], Malka Gorfine [aut] |
| Maintainer | Matan Schlesinger <matan.schles@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.0.4 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
