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, 2019, ). 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.


Reference manual

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1.0.1 by Matan Schlesinger, 2 months ago

Browse source code at https://github.com/cran/KONPsurv

Authors: Matan Schlesinger [cre, aut] , Malka Gorfine [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports survival, Rcpp

Suggests testthat

Linking to Rcpp

See at CRAN