KONPsurv 1.0.1

KONP Tests: Powerful K-Sample Tests for Right-Censored Data

Released Mar 19, 2019 by Matan Schlesinger

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Rcpp survival 2.43-3

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.



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This package was last tested against Renjin 0.9.2725 on Mar 26, 2019.



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