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.

wcox: Weights to Correct for Outcome Dependent Sampling in Time to Event Data

A new inverse probability of selection weighted Cox model to deal with outcome-dependent sampling in survival analysis.

Version: 1.0
Depends: R (≥ 3.5.0)
Imports: dplyr, tidyr, survival, stats
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-05-16
Author: Vera Arntzen ORCID iD [aut, cre], Mar Rodriguez-Girondo ORCID iD [aut]
Maintainer: Vera Arntzen <v.h.arntzen at math.leidenuniv.nl>
License: GPL-3
NeedsCompilation: no
CRAN checks: wcox results

Documentation:

Reference manual: wcox.pdf
Vignettes: Tutorial_toy_data

Downloads:

Package source: wcox_1.0.tar.gz
Windows binaries: r-devel: wcox_1.0.zip, r-release: wcox_1.0.zip, r-oldrel: wcox_1.0.zip
macOS binaries: r-release (arm64): wcox_1.0.tgz, r-oldrel (arm64): wcox_1.0.tgz, r-release (x86_64): wcox_1.0.tgz, r-oldrel (x86_64): wcox_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=wcox 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.