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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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
KONPsurv/json (API)

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

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

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

On CRAN:

Conda:

cpp

2.70 score 1 stars 2 scripts 678 downloads 1 exports 4 dependencies

Last updated from:91b90292ce. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK102
linux-devel-x86_64OK134
source / vignettesOK139
linux-release-arm64OK111
linux-release-x86_64OK134
macos-release-arm64OK102
macos-release-x86_64OK326
macos-oldrel-arm64OK109
macos-oldrel-x86_64OK391
windows-devel-arm64OK339
windows-devel-x86_64OK125
windows-release-arm64OK346
windows-release-x86_64OK102
windows-oldrel-x86_64OK105
wasm-releaseOK85

Exports:konp_test

Dependencies:latticeMatrixRcppsurvival