Simulate observations from the Clayton-Oakes copula model with piecewise constant marginals.
Usage
simClaytonOakes(
K,
n,
eta,
beta,
stoptime,
lam = 1,
left = 0,
pairleft = 0,
trunc.prob = 0.5,
same = 0
)Arguments
- K
Number of clusters
- n
Number of observations in each cluster
- eta
variance
- beta
Effect (log hazard ratio) of covariate
- stoptime
Stopping time
- lam
constant hazard
- left
Left truncation
- pairleft
pairwise (1) left truncation or individual (0)
- trunc.prob
Truncation probability
- same
if 1 then left-truncation is same also for univariate truncation