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tfCox  

Fits Piecewise Polynomial with Data-Adaptive Knots in Cox Model
View on CRAN: Click here


Download and install tfCox package within the R console
Install from CRAN:
install.packages("tfCox")

Install from Github:
library("remotes")
install_github("cran/tfCox")

Install by package version:
library("remotes")
install_version("tfCox", "0.1.0")



Attach the package and use:
library("tfCox")
Maintained by
Jiacheng Wu
[Scholar Profile | Author Map]
First Published: 2019-08-01
Latest Update: 2019-08-01
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.
How to cite:
Jiacheng Wu (2019). tfCox: Fits Piecewise Polynomial with Data-Adaptive Knots in Cox Model. R package version 0.1.0, https://cran.r-project.org/web/packages/tfCox. Accessed 06 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited tfCox R package
View tfCox citation profile
Other R packages that tfCox depends, imports, suggests or enhances
Complete documentation for tfCox
Functions, R codes and Examples using the tfCox R package
Some associated functions: negloglik . plot.cv_tfCox . plot.sim_dat . plot.tfCox . predict.tfCox . predict_best_lambda . summary.cv_tfCox . summary.tfCox . tfCox_choose_lambda . 
Some associated R codes: RcppExports.R . Rfunctions.R .  Full tfCox package functions and examples
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