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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.
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Package details |
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| Author | Alessandro Beretta [aut, cre] (<https://orcid.org/0000-0002-0427-8785>), Cédric Heuchenne [aut] (<https://orcid.org/0000-0002-3150-3044>) |
| Maintainer | Alessandro Beretta <a.beretta@uliege.be> |
| License | GPL-2 | GPL-3 |
| Version | 1.0.2 |
| URL | https://github.com/a-beretta/penPHcure |
| Package repository | View on CRAN |
| Installation |
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