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penPHcure  

Variable Selection in PH Cure Model with Time-Varying Covariates
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("penPHcure", "1.0.2")



Attach the package and use:
library("penPHcure")
Maintained by
Alessandro Beretta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-20
Latest Update: 2019-12-03
Description:
Implementation of the semi-parametric proportional-hazards (PH) of Sy and Taylor (2000) extended to time-varying covariates. Estimation and variable selection are based on the methodology described in Beretta and Heuchenne (2019) ; confidence intervals of the parameter estimates may be computed using a bootstrap approach. Moreover, data following the PH cure model may be simulated using a method similar to Hendry (2014) , where the event-times are generated on a continuous scale from a piecewise exponential distribution conditional on time-varying covariates.
How to cite:
Alessandro Beretta (2019). penPHcure: Variable Selection in PH Cure Model with Time-Varying Covariates. R package version 1.0.2, https://cran.r-project.org/web/packages/penPHcure. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 1.0.1 (2019-11-20 17:50), 1.0.2 (2019-12-03 18:20)
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Complete documentation for penPHcure
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