Simulate Survival Data

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. 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) ).


simsurv 0.2.3-9000 (X/X/2019)

Current development version

simsurv 0.2.3 (1/2/2019)

New features

  • The rootfun argument has been added. This allows the user to apply any transformation to each side of the root finding equation. The default is rootfun = log which corresponds to uniroot solving -H(t) - log(u) = 0.
  • The rootsolver argument has been added. This allows the user to choose between stats::uniroot or BB::dfsane for the root finding.

simsurv 0.2.2 (18/5/2018)

New features

  • The uniroot function (called internally by simsurv) now solves - H(t) - log(u) = 0 instead of exp(-H(t)) - u = 0, i.e. it is on log scale.

simsurv 0.2.1 (16/5/2018)

Bug fixes

  • The interval argument of simsurv supports a lower limit of zero (thanks to Alessandro Gasparini, @ellessenne).

simsurv 0.2.0 (6/3/2018)

New features

  • Added technical and example usage vignettes
  • Added user-specified cumulative hazard or log cumulative hazard
  • Added analytical forms for the inverted survival function when generating survival times from standard distributions (instead of using numerical root finding). This has lead to about a 5-fold increase in speed when simulating event times from standard parametric distributions.

simsurv 0.1.0 (27/7/2017)

Initial CRAN release

NEWS Template

Version (Date)

Serious bug fixes

  • List here if any

Bug fixes

  • List here if any

New features

  • List here if any

Reference manual

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0.2.3 by Sam Brilleman, 2 years ago

Report a bug at

Browse source code at

Authors: Sam Brilleman [cre, aut, cph] , Alessandro Gasparini [ctb]

Documentation:   PDF Manual  

Task views: Survival Analysis

GPL (>= 3) | file LICENSE license

Imports methods, stats

Suggests BB, eha, flexsurv, knitr, MASS, rstpm2, survival, testthat

Suggested by BayesSurvival, KMunicate, mlr3proba.

See at CRAN