Package: KONPsurv 1.0.4

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.

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

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KONPsurv/json (API)

# Install 'KONPsurv' in R:
install.packages('KONPsurv', repos = c('https://matan-schles.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/matan-schles/konpsurv/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

1 exports 1 stars 0.74 score 4 dependencies 5 scripts 255 downloads

Last updated 3 years agofrom:91b90292ce. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-win-x86_64OKSep 06 2024
R-4.5-linux-x86_64OKSep 06 2024
R-4.4-win-x86_64OKSep 06 2024
R-4.4-mac-x86_64OKSep 06 2024
R-4.4-mac-aarch64OKSep 06 2024
R-4.3-win-x86_64OKSep 06 2024
R-4.3-mac-x86_64OKSep 06 2024
R-4.3-mac-aarch64OKSep 06 2024

Exports:konp_test

Dependencies:latticeMatrixRcppsurvival