simClaytonOakes

Number of observations in each cluster

Effect (log hazard ratio) of covariate

beta

stoptime

left

pairwise (1) left truncation or individual (0)

pairleft

trunc.prob

if 1 then left-truncation is same also for univariate truncation

same

Simulate observations from the Clayton-Oakes copula model with
piecewise constant marginals.

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).

simClaytonOakes: Simulate from the Clayton-Oakes frailty model

Description

Usage

Arguments