bprobNRE

It provides the log-likelihood, gradient and observed information matrix for 
penalized or unpenalized maximum likelihood optimization in the presense
of bivariate normal random effects.

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.

bprobNRE: Internal Function

Description

Arguments