bprobNP.H

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.

Routine for fitting bivariate probit models with
        semiparametric predictors (including linear, nonlinear and
        nonparametric random effects) in the presence of correlated
        error equations, endogeneity or sample selection.

bprobNP.H: Internal Function

Description

Arguments