bprobgHsDiscr1: Internal Function

View source: R/bprobgHsDiscr1.r

bprobgHsDiscr1R Documentation

Internal Function

Description

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

Author(s)

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


GJRM documentation built on Oct. 25, 2024, 5:07 p.m.