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CauchyCP  

Powerful Test for Survival Data under Non-Proportional Hazards
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CauchyCP", "0.1.1")



Attach the package and use:
library("CauchyCP")
Maintained by
Hong Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-08
Latest Update: 2022-08-12
Description:
An omnibus test of change-point Cox regression models to improve the statistical power of detecting signals of non-proportional hazards patterns. The technical details can be found in Hong Zhang, Qing Li, Devan Mehrotra and Judong Shen (2021) . Extensive simulation studies demonstrate that, compared to existing tests under non-proportional hazards, the proposed CauchyCP test 1) controls the type I error better at small alpha levels; 2) increases the power of detecting time-varying effects; and 3) is more computationally efficient.
How to cite:
Hong Zhang (2021). CauchyCP: Powerful Test for Survival Data under Non-Proportional Hazards. R package version 0.1.1, https://cran.r-project.org/web/packages/CauchyCP
Previous versions and publish date:
0.1.0 (2021-01-08 12:00)
Other packages that cited CauchyCP R package
View CauchyCP citation profile
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Functions, R codes and Examples using the CauchyCP R package
Some associated functions: CauchyCP . gast . 
Some associated R codes: CauchyCP.R . gast.R .  Full CauchyCP package functions and examples
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