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