bprobgHsCont: Internal Function
In KironmoyDas/KD-STAT0035-GMupdate: Generalised Joint Regression Modelling
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 giampiero.marra@ucl.ac.uk
KironmoyDas/KD-STAT0035-GMupdate documentation built on Feb. 15, 2021, 12:17 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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 giampiero.marra@ucl.ac.uk
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.