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.

tfCox: Fits Piecewise Polynomial with Data-Adaptive Knots in Cox Model

In Cox's proportional hazard model, covariates are modeled as linear function and may not be flexible. This package implements additive trend filtering Cox proportional hazards model as proposed in Jiacheng Wu & Daniela Witten (2019) "Flexible and Interpretable Models for Survival Data", Journal of Computational and Graphical Statistics, <doi:10.1080/10618600.2019.1592758>. The fitted functions are piecewise polynomial with adaptively chosen knots.

Version: 0.1.0
Imports: Rcpp (≥ 0.12.14), survival, stats
LinkingTo: Rcpp
Published: 2019-08-01
DOI: 10.32614/CRAN.package.tfCox
Author: Jiacheng Wu [aut, cre], Daniela Witten [aut], Taylor Arnold [ctb], Veeranjaneyulu Sadhanala [ctb], Ryan Tibshirani [ctb]
Maintainer: Jiacheng Wu <wujiacheng1992 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: tfCox results

Documentation:

Reference manual: tfCox.pdf

Downloads:

Package source: tfCox_0.1.0.tar.gz
Windows binaries: r-devel: tfCox_0.1.0.zip, r-release: tfCox_0.1.0.zip, r-oldrel: tfCox_0.1.0.zip
macOS binaries: r-release (arm64): tfCox_0.1.0.tgz, r-oldrel (arm64): tfCox_0.1.0.tgz, r-release (x86_64): tfCox_0.1.0.tgz, r-oldrel (x86_64): tfCox_0.1.0.tgz

Linking:

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