bitsgHs: Internal Function

Description Author(s)

View source: R/bitsgHs.r

Description

It provides the quantites needed to calculate the log-likelihood, gradient and Hessian matrix for penalized or unpenalized maximum likelihood optimization, for a number of copula models.

Author(s)

Maintainer: Giampiero Marra [email protected]


SemiParSampleSel documentation built on May 29, 2017, 7:54 p.m.