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:Daniela Dunkler [aut, cre], Georg Heinze [aut], Meinhard Ploner [aut]

coxphw_4.0.3.tar.gz
coxphw_4.0.3.tar.gz(r-4.7-arm64)coxphw_4.0.3.tar.gz(r-4.7-x86_64)coxphw_4.0.3.tar.gz(r-4.6-arm64)coxphw_4.0.3.tar.gz(r-4.6-x86_64)
coxphw_4.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:

On CRAN:

Conda:

fortran

4.20 score 1 stars 45 scripts 429 downloads 7 mentions 6 exports 3 dependencies

Last updated from:db21b7512c. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK127
linux-devel-x86_64OK159
source / vignettesOK179
linux-release-arm64OK133
linux-release-x86_64OK140
wasm-releaseOK110

Exports:concordcoxphwcoxphw.controlfp.powerPTwald

Dependencies:latticeMatrixsurvival

R code for 'Weighted Cox Regression using the R package coxphw'

Daniela Dunkler

Rendered fromjss_2018_example_code.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2020-06-22
Started: 2018-04-17