ghssN1: Internal Function
Description
It provides the log-likelihood, gradient and Hessian matrix for penalized maximum likelihood optimization
of all parameters but the standard deviation and correlation coefficient,
when assuming bivariate normal errors.References
Marra G. and Radice R. (in press), Estimation of a Regression Spline Sample Selection Model. Computational Statistics and Data Analysis.