Multivariate dependence with copulas
Description
Classes (S4) of commonly used copulas including elliptical
(normal and t), Archimedean (Clayton, Gumbel, Frank, and
Ali-Mikhail-Haq), extreme value (Gumbel, Husler-Reiss,
Galambos, Tawn, and t-EV), 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 with variance estimate. 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. Tests of extreme-value dependence.