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##' Simulate right censored competing risks data with two covariates X1 and X2. Both covariates have effect exp(1) on the hazards of event 1 and zero effect on the hazard of event 2.
##'
##' This function calls \code{crModel}, then adds covariates and finally calls \code{sim.lvm}.
##' @title Simulate competing risks data
##' @param N sample size
##' @param ... do nothing.
##' @return data.frame with simulated data
##' @author Thomas Alexander Gerds
##' @examples
##'
##' SimCompRisk(10)
##'
##' @export
SimCompRisk <- function(N, ...){
## require(lava)
m <- crModel()
regression(m,from="X1",to="eventtime1") <- 1
regression(m,from="X2",to="eventtime1") <- 1
distribution(m,"X1") <- binomial.lvm()
out <- sim(m,N)
## for backward compatibility
out$cause <- out$event
out
}
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