bprobgHsContSS: Internal Function

View source: R/bprobgHsContSS.r

bprobgHsContSSR Documentation

Internal Function

Description

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

Author(s)

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


GJRM documentation built on July 9, 2023, 7:15 p.m.