Description Usage Arguments Details Value Author(s) See Also
Creates an instance of the bivariate asymmetric logistic model extreme value copula with parameters r, θ and φ.
1 | NewBEVAsyLogisticCopula(r, theta, phi)
|
r |
real. |
theta |
real. |
phi |
real. |
The dependence function for this bivariate EV copula is
A(w) = (θ (1-w)^r + (φ w)^r)^{1/r} + (θ - φ) w + 1 - θ
Necessary and sufficient conditions for the dependence function to be valid are
r ≥ 1
0 ≤ θ ≤ 0
0 ≤ φ ≤ 1
For θ = φ = 1 this model reduces to the symmetric logistic model.
A function that evaluates the bivariate asymmetric logistic model EV copula (with parameters r, θ 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.
Berwin A. Turlach <berwin.turlach@gmail.com>
NewBEVLogisticCopula
, NewMEVAsyLogisticCopula
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