CRAN/E | CauchyCP

CauchyCP

Powerful Test for Survival Data under Non-Proportional Hazards

Installation

About

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.

Key Metrics

Version 0.1.1
Published 2022-08-12 623 days ago
Needs compilation? no
License GPL-2
CRAN checks CauchyCP results

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Maintainer

Maintainer

Hong Zhang

hzhang@wpi.edu

Authors

Hong Zhang

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CauchyCP archive

Imports

stats
survival