vineFitML-class

show,vineFitML-method

Extends the <code><links4class>vineFit</links4class></code> class to include information
about the Maximum Likelihood inference.

multivariate

classes

models

Vines are graphical models for pair-copula constructions
        that allows 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 GonzlezFernndez

vines

Multivariate Dependence Modeling with Vines

vineFitML-class function

Class for the Results of Vine Inference by Maximum Likelihood

vineFitML-class: Class for the Results of Vine Inference by Maximum Likelihood

Description

Arguments

See Also