generator-methods: Generator Functions for Archimedean and Extreme-Value Copulas

In copula: Multivariate Dependence with Copulas

Generator Functions for Archimedean and Extreme-Value Copulas

Description

Methods to evaluate the generator function, the inverse generator function, and derivatives of the inverse of the generator function for Archimedean copulas. For extreme-value copulas, the “Pickands dependence function” plays the role of a generator function.

Usage

psi(copula, s)

iPsi(copula, u, ...)
diPsi(copula, u, degree=1, log=FALSE, ...)

A(copula, w)
dAdu(copula, w)

Arguments

copula	an object of class "copula".
u, s, w	numerical vector at which these functions are to be evaluated.
...	further arguments for specific families.
degree	the degree of the derivative (defaults to 1).
log	logical indicating if the log of the absolute derivative is desired. Note that the derivatives of psi alternate in sign.

Details

psi() and iPsi() are, respectively, the generator function \psi() and its inverse \psi^{(-1)} for an Archimedean copula, see pnacopula for definition and more details.

diPsi() computes (currently only the first two) derivatives of iPsi() (= \psi^{(-1)}).

A(), the “Pickands dependence function”, can be seen as the generator function of an extreme-value copula. For instance, in the bivariate case, we have the following result (see, e.g., Gudendorf and Segers 2009):

A bivariate copula C is an extreme-value copula if and only if

C(u,v) = (uv)^{A(\log(v) / \log(uv))}, \qquad (u,v) \in (0,1]^2 \setminus \{(1,1)\},

where A: [0, 1] \to [1/2, 1] is convex and satisfies \max(t, 1-t) \le A(t) \le 1 for all t \in [0, 1].
In the d-variate case, there is a similar characterization, except that this time, the Pickands dependence function A is defined on the d-dimensional unit simplex.

dAdu() returns a data.frame containing the 1st and 2nd derivative of A().

References

Gudendorf, G. and Segers, J. (2010). Extreme-value copulas. In Copula theory and its applications, Jaworski, P., Durante, F., Härdle, W. and Rychlik, W., Eds. Springer-Verlag, Lecture Notes in Statistics, 127–146, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-642-12465-5")}; preprint at https://arxiv.org/abs/0911.1015.

See Also

Nonparametric estimators for A() are available, see An.

Examples

## List the available methods (and their definitions):
showMethods("A")
showMethods("iPsi", incl=TRUE)

copula documentation built on Sept. 11, 2024, 7:48 p.m.