Package: CauchyCP 0.1.1
CauchyCP: Powerful Test for Survival Data under Non-Proportional Hazards
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.
Authors:
CauchyCP_0.1.1.tar.gz
CauchyCP_0.1.1.zip(r-4.5)CauchyCP_0.1.1.zip(r-4.4)CauchyCP_0.1.1.zip(r-4.3)
CauchyCP_0.1.1.tgz(r-4.4-any)CauchyCP_0.1.1.tgz(r-4.3-any)
CauchyCP_0.1.1.tar.gz(r-4.5-noble)CauchyCP_0.1.1.tar.gz(r-4.4-noble)
CauchyCP_0.1.1.tgz(r-4.4-emscripten)CauchyCP_0.1.1.tgz(r-4.3-emscripten)
CauchyCP.pdf |CauchyCP.html✨
CauchyCP/json (API)
| # Install 'CauchyCP' in R: |
| install.packages('CauchyCP', repos = c('https://wpihongzhang.r-universe.dev', 'https://cloud.r-project.org')) |
- gast - Example 1: gastric carcinoma trial data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:9f104f8b81. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
| R-4.4-win | OK | Oct 25 2024 |
| R-4.4-mac | OK | Oct 25 2024 |
| R-4.3-win | OK | Oct 25 2024 |
| R-4.3-mac | OK | Oct 25 2024 |
Exports:CauchyCP
