penPHcure: Variable Selection in PH Cure Model with Time-Varying Covariates

Implementation of the semi-parametric proportional-hazards (PH) of Sy and Taylor (2000) <doi:10.1111/j.0006-341X.2000.00227.x> extended to time-varying covariates. Estimation and variable selection are based on the methodology described in Beretta and Heuchenne (2019) <doi:10.1080/02664763.2018.1554627>; 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) <doi:10.1002/sim.5945>, where the event-times are generated on a continuous scale from a piecewise exponential distribution conditional on time-varying covariates.

Package details

AuthorAlessandro Beretta [aut, cre] (<https://orcid.org/0000-0002-0427-8785>), Cédric Heuchenne [aut] (<https://orcid.org/0000-0002-3150-3044>)
MaintainerAlessandro Beretta <[email protected]>
LicenseGPL-2 | GPL-3
Version1.0.2
URL https://github.com/a-beretta/penPHcure
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("penPHcure")

Try the penPHcure package in your browser

Any scripts or data that you put into this service are public.

penPHcure documentation built on Dec. 4, 2019, 1:08 a.m.