simsurv - 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. 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>).