ghssFGMg

It provides the log-likelihood, gradient and Hessian matrix for penalized or unpenalized maximum 
likelihood optimization when using the Farlie-Gumbel-Morgenstern copula with normal and gamma marginals.

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

ghssFGMg: Internal Function

Description

Arguments