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

Package details

AuthorMatan Schlesinger [cre, aut], Malka Gorfine [aut]
MaintainerMatan Schlesinger <matan.schles@gmail.com>
LicenseGPL (>= 2)
Version1.0.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("KONPsurv")

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KONPsurv documentation built on Jan. 4, 2022, 1:09 a.m.