simClaytonOakesWei

beta

stoptime

weiscale

weishape

left

pairwise (1) left truncation or individual (0)

pairleft

Simulate observations from the Clayton-Oakes copula model with
Weibull type baseline and Cox marginals.

Implementation of various statistical models for multivariate
event history data. Including multivariate cumulative incidence models, and
bivariate random effects probit models (Liability models). 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).

Klaus Holst

mets

Analysis of Multivariate Event Times

simClaytonOakesWei function

Simulate from the Clayton-Oakes frailty model — simClaytonOakesWei

Simulate from the Clayton-Oakes frailty model

simClaytonOakesWei: Simulate from the Clayton-Oakes frailty model

Description

Usage

Arguments