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] (<>), Cédric Heuchenne [aut] (<>)
MaintainerAlessandro Beretta <[email protected]>
LicenseGPL-2 | GPL-3
Package repositoryView on CRAN
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penPHcure documentation built on Dec. 4, 2019, 1:08 a.m.