simClaytonOakes: Simulate from the Clayton-Oakes frailty model

In mets: Analysis of Multivariate Event Times

Simulate from the Clayton-Oakes frailty model

Description

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

Author(s)

Thomas Scheike and Klaus K. Holst

mets documentation built on May 29, 2024, 3:51 a.m.