TCsim: Function to simulate (Y,Delta) from the copula based model...

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Function to simulate (Y,Delta) from the copula based model for (T,C).

Description

Generates the follow-up time and censoring indicator according to the specified model.

Usage

TCsim(
  tau = 0,
  Copula = "frank",
  Dist.T = "lnorm",
  Dist.C = "lnorm",
  par.T = c(0, 1),
  par.C = c(0, 1),
  n = 10000
)

Arguments

tau	Value of Kendall's tau for (T,C). The default value is 0.
Copula	The copula family. This argument can take values from c("frank","gumbel","clayton","gaussian","indep"). The default copula model is "frank".
Dist.T	Distribution of the survival time T. This argument can take one of the values from c("lnorm", "weibull", "llogis"). The default distribution is "lnorm".
Dist.C	Distribution of the censoring time C. This argument can take one of the values from c("lnorm", "weibull", "llogis"). The default distribution is "lnorm".
par.T	Parameter values for the distribution of T.
par.C	Parameter values for the distribution of C.
n	Sample size.

Value

A list containing the generated follow-up times and censoring indicators.

Examples

tau = 0.5
Copula = "gaussian"
Dist.T = "lnorm"
Dist.C = "lnorm"
par.T = c(1,1)
par.C = c(2,2)
n=1000

simdata <- TCsim(tau,Copula,Dist.T,Dist.C,par.T,par.C,n)
Y = simdata[[1]]
Delta = simdata[[2]]
hist(Y)
mean(Delta)

depCensoring documentation built on April 4, 2025, 1:52 a.m.