ghss1

It provides the log-likelihood, gradient and Hessian matrix for penalized maximum likelihood optimization 
of all parameters but the standard deviation and association coefficient, for several bivariate copula distributions.

Routine for fitting continuous response copula sample selection models with semiparametric predictors, including linear and nonlinear effects. 

ghss1: Internal Function

Description

Arguments