VineCopula: Statistical Inference of Vine Copulas
Tools for bivariate exploratory data analysis, bivariate copula selection and (vine) tree construction are provided. Vine copula models can be estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods are 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.
||R (≥ 2.11.0)
||graphics, grDevices, stats, utils, MASS, mvtnorm, igraph (≥
1.0.0), methods, copula, ADGofTest, lattice
||Ulf Schepsmeier, Jakob Stoeber, Eike Christian Brechmann, Benedikt Graeler, Thomas Nagler, Tobias Erhardt
||Thomas Nagler <thomas.nagler at tum.de>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]