ghssN2: Internal Function
Description
It provides the log-likelihood, gradient and Hessian matrix for unpenalized maximum likelihood optimization for
the standard deviation and correlation parameters only,
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.