bprobSS: Internal Function
Description
It provides the log-likelihood, gradient and Fisher information matrix
for penalized or unpenalized maximum likelihood optimization, in the presence of non-random sample selection.References
Marra G. and Radice R. (submitted), A Penalized Likelihood Estimation Approach to Semiparametric Sample Selection Binary Response Modeling. Electronic Journal of Statistics, invited revision.