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KONPsurv  

KONP Tests: Powerful K-Sample Tests for Right-Censored Data
View on CRAN: Click here


Download and install KONPsurv package within the R console
Install from CRAN:
install.packages("KONPsurv")

Install from Github:
library("remotes")
install_github("cran/KONPsurv")

Install by package version:
library("remotes")
install_version("KONPsurv", "1.0.4")



Attach the package and use:
library("KONPsurv")
Maintained by
Matan Schlesinger
[Scholar Profile | Author Map]
First Published: 2019-03-15
Latest Update: 2022-01-03
Description:
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, ). 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.
How to cite:
Matan Schlesinger (2019). KONPsurv: KONP Tests: Powerful K-Sample Tests for Right-Censored Data. R package version 1.0.4, https://cran.r-project.org/web/packages/KONPsurv. Accessed 20 Feb. 2025.
Previous versions and publish date:
1.0.1 (2019-03-19 23:53), 1.0.2 (2019-11-18 17:10), 1.0.3 (2020-03-02 19:00), 1.0 (2019-03-15 18:18)
Other packages that cited KONPsurv R package
View KONPsurv citation profile
Other R packages that KONPsurv depends, imports, suggests or enhances
Complete documentation for KONPsurv
Functions, R codes and Examples using the KONPsurv R package
Some associated functions: KONPSURV-package . carcinoma . gastric . konp_test . 
Some associated R codes: HHGKM_2_sample.R . HHGKM_K_sample.R . RcppExports.R . data.R .  Full KONPsurv package functions and examples
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