Package: KONPsurv 1.0.4

Matan Schlesinger

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]

KONPsurv_1.0.4.tar.gz
KONPsurv_1.0.4.tar.gz(r-4.7-arm64)KONPsurv_1.0.4.tar.gz(r-4.7-x86_64)KONPsurv_1.0.4.tar.gz(r-4.6-arm64)KONPsurv_1.0.4.tar.gz(r-4.6-x86_64)
KONPsurv_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
KONPsurv/json (API)

# Install 'KONPsurv' in R:
install.packages('KONPsurv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.70 score 4 scripts 808 downloads 1 exports 4 dependencies

Last updated from:25fa2610f2. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK136
linux-devel-x86_64OK129
source / vignettesOK179
linux-release-arm64OK135
linux-release-x86_64OK125
wasm-releaseOK142

Exports:konp_test

Dependencies:latticeMatrixRcppsurvival