bprobgHsCont: Internal Function

Description Author(s)

View source: R/bprobgHsCont.r

Description

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

Author(s)

Maintainer: Giampiero Marra [email protected]


JRM documentation built on July 13, 2017, 5:03 p.m.