vineFit-class

show,vineFit-method

Base class of all classes providing information about vine inference. 
Objects of this class (or subclasses) are created by calling the 
<code><a href="/link/vineFit?package=vines&version=1.0.5" rd-options="" data-mini-rdoc="vines::vineFit">vineFit</a></code> function.

multivariate

classes

models

Vines are graphical models for pair-copula constructions
        that allow building high-dimensional distributions using
        bivariate copulas and marginal density functions. This package
        contains S4 classes for vines (C-vines and D-vines) and methods
        for inference, goodness-of-fit tests, density evaluation,
        distribution function evaluation, and simulation.

Yasser GonzalezFernandez

vines

Multivariate Dependence Modeling with Vines

vineFit-class function

Class for the Results of Vine Inference

vineFit-class: Class for the Results of Vine Inference

Description

Arguments

See Also