Weib.reg.Clayton: Weibull regression under the Clayton copula

In Copula.surv: Analysis of Bivariate Survival Data Based on Copulas

Weibull regression under the Clayton copula

Description

See Section 2.6.3 of Emura et al. (2019).

Usage

Weib.reg.Clayton(x.obs,y.obs,dx,dy,zx,zy,convergence.par=FALSE)

Arguments

x.obs	censored times for X
y.obs	censored times for Y
dx	censoring indicators for X
dy	censoring indicators for Y
zx	matrix of covariates for X
zy	matrix of covariates for Y
convergence.par	if TRUE, show the details

Details

Details are seen from the references.

Value

beta_x	regression coefficients for X
beta_y	regression coefficients for Y

Author(s)

Takeshi Emura

References

Emura T, Matsui S, Rondeau V (2019), Survival Analysis with Correlated Endpoints, Joint Frailty-Copula Models, JSS Research Series in Statistics, Springer

Examples

#TBA

Copula.surv documentation built on June 8, 2025, 11:18 a.m.