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.
Version: |
1.0.4 |
Imports: |
survival, Rcpp (≥ 0.12.16) |
LinkingTo: |
Rcpp |
Suggests: |
testthat |
Published: |
2022-01-03 |
Author: |
Matan Schlesinger [cre, aut],
Malka Gorfine [aut] |
Maintainer: |
Matan Schlesinger <matan.schles at gmail.com> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
yes |
Materials: |
README |
In views: |
Survival |
CRAN checks: |
KONPsurv results |
Documentation:
Downloads:
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