BIC.gamBiCop

BIC,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 calculating the Schwarz's Bayesian Information Criterion (BIC)
for 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).

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

BIC.gamBiCop function

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

Function calculating the Schwarz's Bayesian Information Criterion (BIC)
for 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).

BIC.gamBiCop: Schwarz's Bayesian Information Criterion for a gamBiCop Object

Description

Usage

Arguments

Value

See Also