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penPHcure
View on CRAN: Click
here
Download and install penPHcure package within the R console
Install from CRAN:
install.packages("penPHcure")
Install from Github:
library("remotes")
install_github("cran/penPHcure")
Install by package version:
library("remotes")
install_version("penPHcure", "1.0.2")
Attach the package and use:
library("penPHcure")
Maintained by
Alessandro Beretta
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-20
Latest Update: 2019-12-03
Description:
Implementation of the semi-parametric proportional-hazards (PH) of Sy and Taylor (2000) extended to time-varying covariates. Estimation and variable selection are based on the methodology described in Beretta and Heuchenne (2019) ; 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) , where the event-times are generated on a continuous scale from a piecewise exponential distribution conditional on time-varying covariates.
How to cite:
Alessandro Beretta (2019). penPHcure: Variable Selection in PH Cure Model with Time-Varying Covariates. R package version 1.0.2, https://cran.r-project.org/web/packages/penPHcure
Previous versions and publish date:
1.0.1 (2019-11-20 17:50)
Other packages that cited penPHcure R package
View penPHcure citation profile
Other R packages that penPHcure depends,
imports, suggests or enhances
Functions, R codes and Examples using
the penPHcure R package
Some associated functions: PHcureject . cpRossi . penPHcure-package . penPHcure . penPHcureject . penPHcure.simulate . predict.PHcure . predict.penPHcure . summary.PHcure . summary.penPHcure .
Some associated R codes: PHcureject.R . RcppExports.R . cpRossi-data.R . penPHcure-package.R . penPHcure.R . penPHcure.check.R . penPHcure.inference.R . penPHcure.initialize.R . penPHcureject.R . penPHcure.penfit.R . penPHcure.simulate.R . penPHcure.stdfit.R . penPHcure.tune.R . predict.PHcure.R . predict.penPHcure.R . print.summary.PHcure.R . print.summary.penPHcure.R . summary.PHcure.R . summary.penPHcure.R . Full penPHcure package functions and examples
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