loglike.gaussian.unconstrained: Log-likelihood function for the Gaussian copula.

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Log-likelihood function for the Gaussian copula.

Description

This likelihood function is maximized to estimate the model parameters under the Gaussian copula.

Usage

loglike.gaussian.unconstrained(para, Y, Delta, Dist.T, Dist.C)

Arguments

para	Estimated parameter values/initial values.
Y	Follow-up time.
Delta	Censoring indicator.
Dist.T	The distribution to be used for the survival time T. This argument can only the value "lnorm".
Dist.C	The distribution to be used for the censoring time C. This argument can only the value "lnorm".

Value

Maximized log-likelihood value.

depCensoring documentation built on April 4, 2025, 1:52 a.m.