The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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) <doi:10.48550/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.
Version: | 0.1.1 |
Imports: | stats, survival |
Published: | 2022-08-12 |
DOI: | 10.32614/CRAN.package.CauchyCP |
Author: | Hong Zhang |
Maintainer: | Hong Zhang <hzhang at wpi.edu> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | CauchyCP results |
Reference manual: | CauchyCP.pdf |
Package source: | CauchyCP_0.1.1.tar.gz |
Windows binaries: | r-devel: CauchyCP_0.1.1.zip, r-release: CauchyCP_0.1.1.zip, r-oldrel: CauchyCP_0.1.1.zip |
macOS binaries: | r-release (arm64): CauchyCP_0.1.1.tgz, r-oldrel (arm64): CauchyCP_0.1.1.tgz, r-release (x86_64): CauchyCP_0.1.1.tgz, r-oldrel (x86_64): CauchyCP_0.1.1.tgz |
Old sources: | CauchyCP archive |
Please use the canonical form https://CRAN.R-project.org/package=CauchyCP to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.