VineCopula: Statistical inference of vine copulas

This package provides functions for statistical inference of vine copulas. It contains tools for bivariate exploratory data analysis, bivariate copula selection and (vine) tree construction. Models can be estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods are also included. Data is assumed to lie in the unit hypercube (so-called copula data). For C- and D-vines links to the package CDVine are provided.

Version: 1.1-1
Depends: R (≥ 2.11.0), MASS, mvtnorm, igraph0
Suggests: CDVine, TSP
Published: 2013-02-07
Author: Ulf Schepsmeier, Jakob Stoeber, Eike Christian Brechmann
Maintainer: Ulf Schepsmeier <schepsmeier at ma.tum.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Distributions
CRAN checks: VineCopula results

Downloads:

Package source: VineCopula_1.1-1.tar.gz
MacOS X binary: VineCopula_1.1-1.tgz
Windows binary: VineCopula_1.1-1.zip
Reference manual: VineCopula.pdf
News/ChangeLog:ChangeLog
Old sources: VineCopula archive

Reverse dependencies:

Reverse depends: CopulaRegression