vines: Multivariate Dependence Modeling with Vines

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.

Version: 1.0.4
Depends: methods, copula, ADGofTest, cubature, TSP
Published: 2012-04-13
Author: Yasser González-Fernández and Marta Soto
Maintainer: Yasser González-Fernández <ygf at icimaf.cu>
License: GPL (≥ 3)
CRAN checks: vines results

Downloads:

Package source: vines_1.0.4.tar.gz
MacOS X binary: vines_1.0.4.tgz
Windows binary: vines_1.0.4.zip
Reference manual: vines.pdf
News/ChangeLog:NEWS
Old sources: vines archive

Reverse dependencies:

Reverse depends: copulaedas