bcont

It provides the log-likelihood, gradient and observed information matrix for 
penalized or unpenalized maximum likelihood optimization, when continuous margins are employed.<p></p><p></p>

Routines for fitting copula models for binary and continuous responses with linear and nonlinear effects in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.

bcont: Internal Function

Description

Arguments