Creates an instance of the bivariate asymmetric logistic model extreme value copula with parameters \(r\), \(\theta\) and \(\phi\).
NewBEVAsyLogisticCopula(r, theta, phi)A function that evaluates the bivariate asymmetric logistic model EV copula (with parameters \(r\), \(\theta\) and \(phi\)) at a given \(2\)-dimensional vector in the unit square. The environment of the function also contains a function called pdfCopula that evaluates the probability density function of the bivariate asymmetric mixed model EV copula via automatic differentation.
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Berwin A. Turlach berwin.turlach@gmail.com
The dependence function for this bivariate EV copula is $$A(w) = (\theta (1-w)^r + (\phi w)^r)^{1/r} + (\theta - \phi) w + 1 - \theta$$ Necessary and sufficient conditions for the dependence function to be valid are
\(r \ge 1\)
\(0 \le \theta \le 0\)
\(0 \le \phi \le 1\)
For \(\theta = \phi = 1\) this model reduces to the symmetric logistic model.
NewBEVLogisticCopula, NewMEVAsyLogisticCopula