swMATH ID: 31326
Software Authors: Sam Brilleman; Alessandro Gasparini
Description: R package 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. Note that this package is modelled on the ’survsim’ package available in the ’Stata’ software (see Crowther and Lambert (2012) <http://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).
Homepage: https://cran.r-project.org/web/packages/simsurv/index.html
Source Code:  https://github.com/cran/simsurv
Dependencies: R
Keywords: R; R package; survival; time-to-event; simulation; Journal of Statistical Software
Related Software: coxme; R; mexhaz; lamW; frailtyEM; parfm; frailtypack; simjm; SimSCRPiecewise; rstpm2; prodlim; mlt; flexsurv; survsim; Stata; PermAlgo; BB; SimHaz; ElemStatLearn; party
Cited in: 4 Documents

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1 Publication describing the Software Year

Cited in 1 Field

4 Statistics (62-XX)

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