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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 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

Documentation:

Reference manual: 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 form https://CRAN.R-project.org/package=penPHcure to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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