Multivariate Dependence Modeling with Vines
Description
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.