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
Author: Alessandro Beretta ORCID iD [aut, cre], Cédric Heuchenne ORCID iD [aut]
Maintainer: Alessandro Beretta <a.beretta at uliege.be>
BugReports: https://github.com/a-beretta/penPHcure/issues
License: GPL-2 | GPL-3
Copyright: Copyright (C) 2019 University of Liège (Belgium).
URL: https://github.com/a-beretta/penPHcure
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: penPHcure results

Downloads:

Reference manual: penPHcure.pdf
Package source: penPHcure_1.0.2.tar.gz
Windows binaries: r-devel: penPHcure_1.0.2.zip, r-devel-gcc8: penPHcure_1.0.2.zip, r-release: penPHcure_1.0.2.zip, r-oldrel: penPHcure_1.0.2.zip
OS X binaries: r-release: penPHcure_1.0.2.tgz, r-oldrel: penPHcure_1.0.2.tgz
Old sources: penPHcure archive

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