Package: coxphw 4.0.3
Daniela Dunkler
coxphw: Weighted Estimation in Cox Regression
Implements weighted estimation in Cox regression as proposed by Schemper, Wakounig and Heinze (Statistics in Medicine, 2009, <doi:10.1002/sim.3623>) and as described in Dunkler, Ploner, Schemper and Heinze (Journal of Statistical Software, 2018, <doi:10.18637/jss.v084.i02>). Weighted Cox regression provides unbiased average hazard ratio estimates also in case of non-proportional hazards. Approximated generalized concordance probability an effect size measure for clear-cut decisions can be obtained. The package provides options to estimate time-dependent effects conveniently by including interactions of covariates with arbitrary functions of time, with or without making use of the weighting option.
Authors:
coxphw_4.0.3.tar.gz
coxphw_4.0.3.tar.gz(r-4.5-noble)coxphw_4.0.3.tar.gz(r-4.4-noble)
coxphw_4.0.3.tgz(r-4.4-emscripten)coxphw_4.0.3.tgz(r-4.3-emscripten)
coxphw.pdf |coxphw.html✨
coxphw/json (API)
NEWS
| # Install 'coxphw' in R: |
| install.packages('coxphw', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/biometrician/coxphw/issues
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Last updated 1 years agofrom:db21b7512c. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 23 2024 |
| R-4.5-linux-x86_64 | OK | Dec 23 2024 |
