simsurv: Simulate Survival Data (original) (raw)
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>).
Version: | 1.0.0 |
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Depends: | R (≥ 3.3.0) |
Imports: | methods, stats |
Suggests: | BB (≥ 2014.10.1), eha (≥ 2.4.5), flexsurv (≥ 1.1.0), knitr (≥ 1.15.1), MASS, rmarkdown, rstpm2 (≥ 1.4.1), survival (≥ 2.40.1), testthat (≥ 1.0.2) |
Published: | 2021-01-13 |
DOI: | 10.32614/CRAN.package.simsurv |
Author: | Sam Brilleman [cre, aut, cph], Alessandro Gasparini [ctb] |
Maintainer: | Sam Brilleman <sam.brilleman at gmail.com> |
BugReports: | https://github.com/sambrilleman/simsurv/issues |
License: | GPL (≥ 3) | file |
NeedsCompilation: | no |
Citation: | simsurv citation info |
Materials: | NEWS |
In views: | Survival |
CRAN checks: | simsurv results |
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