bprobNP.H: Internal Function
Description
It provides the log-likelihood, gradient and Hessian matrix for penalized
or unpenalized maximum likelihood estimation in the presense
of nonparametric random effects. This is used for inferential purposes only.References
Marra G., Papageorgiou G. and Radice R. (in press), Estimation of a Semiparametric Recursive Bivariate Probit Model with Nonparametric Mixing. Australian & New Zealand Journal of Statistics.