simsurv: Simulate Survival Data

Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard or log 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 some transformation of time. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions. If the user wishes to provide a user-defined hazard or log hazard function then this is also possible, and the resulting cumulative hazard function does not need to have a closed-form solution. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see Crowther and Lambert (2012) <> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).

Version: 0.1.0
Depends: R (≥ 3.3.2)
Imports: methods, stats
Suggests: eha (≥ 2.4.5), MASS, survival (≥ 2.40.1), testthat (≥ 1.0.2)
Published: 2017-07-27
Author: Sam Brilleman [cre, aut, cph]
Maintainer: Sam Brilleman <sam.brilleman at>
License: GPL (≥ 3) | file LICENSE
NeedsCompilation: no
CRAN checks: simsurv results


Reference manual: simsurv.pdf
Package source: simsurv_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: simsurv_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: simsurv_0.1.0.tgz


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