simsurv
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), 2component mixture distributions, or a userdefined 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. nonproportional hazards) can be included by interacting covariates with linear time or a userdefined function of time. Clustered event times are also accommodated. The 2component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a userdefined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closedform solution. Note that this package is modelled on the ’survsim’ package available in the ’Stata’ software (see Crowther and Lambert (2012) <http://www.statajournal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>). 
Homepage:  https://cran.rproject.org/web/packages/simsurv/index.html 
Source Code:  https://github.com/cran/simsurv 
Dependencies:  R 
Keywords:  R; R package; survival; timetoevent; simulation; Journal of Statistical Software 
Related Software:  R; simjm; SimSCRPiecewise; rstpm2; prodlim; mlt; flexsurv; survsim; Stata; PermAlgo; coxme; BB; SimHaz; party; CoxBoost; CRAN; obliqueRF; fRMA; obliqueRSF; XGBoost 
Cited in:  1 Publication 
Standard Articles
1 Publication describing the Software  Year 


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top 5
Cited by 9 Authors
1  Howard, George 
1  Jaeger, Byron C. 
1  Long, D. Leann 
1  Long, Dustin M. 
1  McClure, Leslie A. 
1  Min, YuanI 
1  Simon, Noah Robin 
1  Sims, Mario 
1  Szychowski, Jeff M. 
Cited in 1 Serial
1  The Annals of Applied Statistics 
Cited in 1 Field
1  Statistics (62XX) 