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simsurv
View on CRAN: Click
here
Download and install simsurv package within the R console
Install from CRAN:
install.packages("simsurv")
Install from Github:
library("remotes")
install_github("cran/simsurv")
Install by package version:
library("remotes")
install_version("simsurv", "1.0.0")
Attach the package and use:
library("simsurv")
Maintained by
Sam Brilleman
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-27
Latest Update: 2021-01-13
Description:
Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Clustered event times are also accommodated. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. For details see the supporting paper <doi:10.18637/jss.v097.i03>. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see Crowther and Lambert (2012) <https://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).
How to cite:
Sam Brilleman (2017). simsurv: Simulate Survival Data. R package version 1.0.0, https://cran.r-project.org/web/packages/simsurv
Previous versions and publish date:
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Functions, R codes and Examples using
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Some associated functions: brcancer . simsurv .
Some associated R codes: brcancer.R . simsurv.R . Full simsurv package functions and examples
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