KONP Tests: Powerful K-Sample Tests for Right-Censored Data
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 4includes a package overview page
- Examples that run
- 50%1 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 75%
Downloads
Dependencies
Installing KONPsurv adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.4Latest
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.32020-03-02 · diff ↗
- 1.0.22019-11-18 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.0.12019-03-19 · diff ↗
- 1.02019-03-15
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-03-15
- Total releases
- 5 / 7 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 4.7 KB / 2 files
- Download size
- 23 KB
Cite
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