Package: CauchyCP
Type: Package
Title: Powerful Test for Survival Data under Non-Proportional Hazards
Version: 0.1.0
Author: Hong Zhang
Maintainer: Hong Zhang <hzhang@wpi.edu>
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) <arXiv:2101.00059>. 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.
License: GPL-2
Imports: stats, survival
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2021-01-06 18:53:37 UTC; consi
Repository: CRAN
Date/Publication: 2021-01-08 11:00:09 UTC
Built: R 4.0.2; ; 2021-01-09 11:34:00 UTC; unix
