Adding permutation asymmetry (Chang and Joe, 2020, p. 1596) (isCOP.permsym) is simple for a bivariate copula family. Let \(\mathbf{C}\) be a copula with respective vectors of parameters \(\Theta_\mathbf{C}\), then the permutation asymmetry is added through an asymmetry parameter \(\beta \in (-1, +1)\) by
$$\breve{\mathbf{C}}_{\beta;\Theta}(u,v) = v^{-\beta}\cdot\mathbf{C}\bigl(u, v^{(1+\beta)};\Theta\bigr)\mbox{, and}$$
for \(0 \le \beta \le +1\) by
$$\breve{\mathbf{C}}_{\beta;\Theta}(u,v) = u^{+\beta}\cdot\mathbf{C}\bigl(u^{(1-\beta)}, v;\Theta\bigr)\mbox{.}$$
The parameter \(\beta\) clashes in name and symbology with a parameter used by functions composite1COP, composite2COP, and composite3COP. As a result, support for alternative naming is provided for compatibility. Lastly, an example under W demonstrates the span of the Kendall function (kfuncCOP) based on M and W having permutation asymmetry inserted by breveCOP(). The demonstration shows that the Kendall function is a distribution unto itself with its own nonexceedance probabilities.
breveCOP(u,v, para, breve=NULL, ...)Value(s) for the copula are returned.
Nonexceedance probability \(u\) in the \(X\) direction;
Nonexceedance probability \(v\) in the \(Y\) direction;
A special parameter list (see Note);
An alternative way from para to set the \(\beta\) for this function; and
Additional arguments to pass to the copula.
W.H. Asquith
Chang, B., and Joe, H., 2020, Copula diagnostics for asymmetries and conditional dependence: Journal of Applied Statistics, v. 47, no. 9, pp. 1587--1615, tools:::Rd_expr_doi("10.1080/02664763.2019.1685080").
COP, convex2COP, convexCOP, composite1COP, composite2COP, composite3COP, FRECHETcop, glueCOP