bprobgHsSS: Internal Function


It provides the log-likelihood, gradient and observed/Fisher information matrix for penalized/unpenalized maximum likelihood optimization when copula sample selection models with binary outcomes are employed.


Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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