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
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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 |
Reference manual: | penPHcure.pdf |
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-devel (arm64): penPHcure_1.0.2.tgz, r-release (arm64): penPHcure_1.0.2.tgz, r-oldrel (arm64): penPHcure_1.0.2.tgz, r-devel (x86_64): 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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