simSurvData: Simulation of a Survival Data.Frame
In Knusprikus/BSSRed: Blinded Sample Size Reestimation For Event Driven Trials

Simulates a two group data.frame including time to event, recruiting time and status.

simSurvData(
  N,
  tn,
  lambda,
  sigma,
  theta,
  gamma,
  kappa,
  distS = "exponential",
  distC = "exponential",
  L
)

`N`	a two column matrix containing the size of both recruitment groups per row, representing the number of recruited patients per group and timepoint (`tn`).
`tn`	a vecotr of length = `NROW(N)` defining the timepoint of recruiting. Default is `0:(NROW(N)-1)`.
`lambda`	a number greater 0 defining the hazard rate for the survival process of group1. For the parametrization see `details`.
`sigma, kappa`	a number greater 0 defining the shape parameter for the survival- and the censor process. Only needed if distS or distC is set to weibull. Default is 1 resulting in an exponential distribution.
`gamma`	a number greater 0 defining the overall hazard rate for the censor process.
`distS, distC`	a character string defining the distribution of the survival- and the censor process. Default is 'exponential'.
`L`	a number defining the timepoint for administrative censoring. If no administrative censoring is planned `L=Inf`. Default is L=Inf.

!!!!!!!!!!!!!!!!!!!!11how the data is simulated!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

a data.frame including id (id), time to event (time), recruiting timepoint (tn), grouping (group) and status (status (1 = event occured)).

1 2	N <- matrix(rep(50,10),ncol=2) simSurvData(N=N, lambda=exp(.7)/12, sigma=1, theta=.7, gamma=exp(.3)/12, kappa=1, distS = "exponential",distC = "exponential",L=10)