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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 |
| 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 |
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