Skip to content

tfCox

Fits Piecewise Polynomial with Data-Adaptive Knots in Cox Model

v0.1.0 · Aug 1, 2019 · GPL (>= 2)

Description

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.

Downloads

167

Last 30 days

19605th

167

Last 90 days

167

Last year

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (14 non-OK)
OK r-devel-linux-x86_64-debian-clang

*


            
OK r-devel-linux-x86_64-debian-gcc

*


            
OK r-devel-linux-x86_64-fedora-clang

*


            
OK r-devel-linux-x86_64-fedora-gcc

*


            
OK r-devel-macos-arm64

*


            
OK r-devel-windows-x86_64

*


            
OK r-oldrel-macos-arm64

*


            
OK r-oldrel-macos-x86_64

*


            
OK r-oldrel-windows-x86_64

*


            
OK r-patched-linux-x86_64

*


            
OK r-release-linux-x86_64

*


            
OK r-release-macos-arm64

*


            
OK r-release-macos-x86_64

*


            
OK r-release-windows-x86_64

*


            

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp survival tfCox

Version History

new 0.1.0 Mar 10, 2026