ghssDuniv

It provides the log-likelihood, gradient and Hessian matrix for penalized or unpenalized maximum 
likelihood optimization of the naive model for discrete outcome margins.

Routine for fitting continuous or discrete response copula sample selection models with semi-parametric predictors, including linear and nonlinear effects.

Giampiero Marra

ghssDuniv: Internal Function

Description

Arguments