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Classes (S4) of commonly used copulas including elliptical (normal and t), Archimedean (Clayton, Gumbel, Frank, and Ali-Mikhail-Haq), extreme value (Husler-Reiss and Galambos), and other families (Plackett and Farlie-Gumbel-Morgenstern). Methods for density, distribution, random number generation, bivariate dependence measures, perspective and contour plots. Functions for fitting copula models. Independence tests among random variables and random vectors. Serial independence tests for univariate and multivariate continuous time series. Goodness-of-fit tests for copulas based on multipliers and on the parametric bootstrap. Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
R package can be downloaded at http://cran.r-project.org/web/packages/copula/index.html
Tags – copula
Read the full post at Multivariate dependence with copulas.
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