logLik.gamBiCop

logLik,gamBiCop-method

An object of the class
<code><a rd-options="gamCopula:gamBiCop-class" href="/link/gamBiCop?package=gamCopula&version=0.0-7&to=gamCopula%3AgamBiCop-class" data-mini-rdoc="gamCopula:gamBiCop-class::gamBiCop">gamBiCop</a></code>.

object

Function to extract the log-likelihood from an object of the class
<code><a rd-options="gamCopula:gamBiCop-class" href="/link/gamBiCop?package=gamCopula&version=0.0-7&to=gamCopula%3AgamBiCop-class" data-mini-rdoc="gamCopula:gamBiCop-class::gamBiCop">gamBiCop</a></code> (note that the models are
usually fitted by penalized likelihood maximization).
This function is used by <code><a rd-options="" href="/link/AIC?package=gamCopula&version=0.0-7" data-mini-rdoc="gamCopula::AIC">AIC</a></code> and <code><a rd-options="" href="/link/BIC?package=gamCopula&version=0.0-7" data-mini-rdoc="gamCopula::BIC">BIC</a></code>.

Implementation of various inference and simulation tools to
apply generalized additive models to bivariate dependence structures and
non-simplified vine copulas.

Thibault Vatter

gamCopula

Generalized Additive Models for Bivariate Conditional Dependence
Structures and Vine Copulas

Thomas Nagler

logLik.gamBiCop function

An object of the class
<code><a rd-options='gamCopula:gamBiCop-class' href='gamBiCop'>gamBiCop</a></code>.

Function to extract the log-likelihood from an object of the class
<code><a rd-options='gamCopula:gamBiCop-class' href='gamBiCop'>gamBiCop</a></code> (note that the models are
usually fitted by penalized likelihood maximization).
This function is used by <code><a rd-options='' href='AIC'>AIC</a></code> and <code><a rd-options='' href='BIC'>BIC</a></code>.

logLik.gamBiCop: Extract the Log-likelihood from a gamBiCop Object

Description

Usage

Arguments

Value

See Also