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 rd-options="" href="/link/vineFit?package=vines&version=1.1.5" data-mini-rdoc="vines::vineFit">vineFit</a></code> function.


multivariate

classes

models

Implementation of the vine graphical model for building
high-dimensional probability distributions as a factorization of
bivariate copulas and marginal density functions. This package
provides S4 classes for vines (C-vines and D-vines) and methods
for inference, goodness-of-fit tests, density/distribution
function evaluation, and simulation.

Yasser GonzalezFernandez

vines

Multivariate Dependence Modeling with Vines

vineFit-class function

Slots

Methods


Base class of all classes providing information about vine inference. 
Objects of this class (or subclasses) are created by calling the 
<code><a rd-options='' href='vineFit'>vineFit</a></code> function.


Class for the Results of Vine Inference

vineFit-class: Class for the Results of Vine Inference

Description

Arguments

Slots

Methods

See Also