| bprobgHs {GJRM} | R Documentation |
Internal Function
Description
It provides the log-likelihood, gradient and observed/Fisher information matrix for penalized/unpenalized maximum likelihood optimization when copula models with binary outcomes are employed.
Author(s)
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
[Package GJRM version 0.2-6.5 Index]