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tfCox

0.1.0Package record

Fits Piecewise Polynomial with Data-Adaptive Knots in Cox Model

0packages depend
2.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
13includes a package overview page
Examples that run
100%11 run in a plain check
Exported functions with examples
92%
Documented parameters
100%
Return-value docs
50%
Help pages citing references
54%

Downloads

2.2K
CRAN downloads in the past year
Rank #21,739 · ~6/day · ~181/mo
Daily download trend is not available in this view yet.
21430 days
61890 days
2.2K1 year
Compare downloads with other packages →
Also on355 r2u3 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing tfCox adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (0)
none
Imports (3)
Rcppsurvivalstats
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (5)
Author, Maintainer since 0.1.0 (2019)
Contributor
Contributor
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.0Latest
    2019-08-01 · current release
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-08-01
Total releases
1 / 7 yrs
License
GPL (>= 2) OSI
Download size
71 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tfCox")
Wu, J., Arnold, T., Sadhanala, V., Tibshirani, R., & Witten, D. (2019). tfCox: Fits Piecewise Polynomial with Data-Adaptive Knots in Cox Model (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tfCox

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tfCox version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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