This likelihood function is maximized to estimate the model parameters under the Gaussian copula.
loglike.gaussian.unconstrained(para, Y, Delta, Dist.T, Dist.C)Maximized log-likelihood value.
Estimated parameter values/initial values.
Follow-up time.
Censoring indicator.
The distribution to be used for the survival time T. This argument can only the value "lnorm".
The distribution to be used for the censoring time C. This argument can only the value "lnorm".