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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.

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 BerettaORCID iD [aut, cre], Cédric HeuchenneORCID 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[issues need fixing before 2025-12-18]

Documentation:

Reference manual:penPHcure.html ,penPHcure.pdf

Downloads:

Package source: penPHcure_1.0.2.tar.gz
Windows binaries: r-devel:penPHcure_1.0.2.zip, r-release:penPHcure_1.0.2.zip, r-oldrel:penPHcure_1.0.2.zip
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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=penPHcureto link to this page.


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