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) ).


Reference manual

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0.2.3 by Sam Brilleman, 19 days ago

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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

See at CRAN