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
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

Downloads:

Reference manual: tfCox.pdf
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
OS X binaries: r-release: tfCox_0.1.0.tgz, r-oldrel: tfCox_0.1.0.tgz

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