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.

Version: 1.0.2
Depends: survival, R (≥ 3.5)
Imports: Rcpp, MASS, Rdpack
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-12-03
DOI: 10.32614/CRAN.package.penPHcure
Author: Alessandro Beretta ORCID iD [aut, cre], Cédric Heuchenne ORCID iD [aut]
Maintainer: Alessandro Beretta <a.beretta at>
License: GPL-2 | GPL-3
Copyright: Copyright (C) 2019 University of Liège (Belgium).
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: penPHcure results


Reference manual: penPHcure.pdf


Package source: penPHcure_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): penPHcure_1.0.2.tgz, r-oldrel (arm64): penPHcure_1.0.2.tgz, r-release (x86_64): penPHcure_1.0.2.tgz, r-oldrel (x86_64): penPHcure_1.0.2.tgz
Old sources: penPHcure archive


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