Analysis of Bivariate Survival Data Based on Copulas
Analysis of Bivariate Survival Data
Simulating data from the BB1 copula
Simulating data from the BB1 copula regression model
Simulating data from the Celebioglu-Cuadras (CC) copula
Simulating data from the Clayton copula
Simulating data from the FGM copula
Simulating data from the Frank copula
Simulating data from the Gumbel-Barnett (GB) copula
Simulating data from the Gumbel copula
Simulating data from the Joe copula
Simulating data from the t-copula
A goodness-of-fit test for the Clayton copula
A goodness-of-fit test for the Gumbel copula
Estimation of an association parameter via the pseudo-likelihood
Estimation of an association parameter via the unweighted estimator
Estimation of an association parameter via the unweighted estimator
Estimation of an association parameter via the pseudo-likelihood
Weibull regression under the BB1 copula with known "delta"
Weibull regression under the BB1 copula
Weibull regression under the conditional BB1 copula with known "delta"
Weibull regression under the conditional BB1 copula
Weibull regression under the Clayton copula
Weibull regression under the Frank copula
Weibull regression under the Gumbel copula
Simulating bivariate survival data from copula models. Estimation of the association parameter in copula models. Two different ways to estimate the association parameter in copula models are implemented. A goodness-of-fit test for a given copula model is implemented. See Emura, Lin and Wang (2010) <doi:10.1016/j.csda.2010.03.013> for details.