Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Ivan Kojadinovic, Jun Yan
Title: Modeling Multivariate Distributions with Continuous Margins Using the copula R Package
Abstract: The copula-based modeling of multivariate distributions with continuous margins is presented as a succession of rank-based tests: a multivariate test of randomness followed by a test of mutual independence and a series of goodness-of-fit tests. All the tests under consideration are based on the empirical copula, which is a nonparametric rank-based estimator of the true unknown copula. The principles of the tests are recalled and their implementation in the copula R package is briefly described. Their use in the construction of a copula model from data is thoroughly illustrated on real insurance and financial data.

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Paper: Modeling Multivariate Distributions with Continuous Margins Using the copula R Package     Download PDF (Downloads: 17183)
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copula_0.9-5.tar.gz: R source package Download (Downloads: 1310; 542KB)
v34i09.R: R example code from the paper Download (Downloads: 1733; 4KB)
DOI: 10.18637/jss.v034.i09

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.