Description Usage Arguments Details Value Examples
Computes CDF and simulations of the bivariate Marshall-Olkin copula.
1 2 3 | cBivariateMO(u1, u2, dependencyParameter, ...)
crBivariateMO(numberSimulations = 10000, seed = 42, dependencyParameter)
|
u1, u2 |
points at which to evaluate the copula. |
dependencyParameter |
correlation parameters, must be vector of length 2. |
... |
other parameters. |
numberSimulations |
Number of simulations. |
seed |
Simulation seed, 42 by default. |
The bivariate Marshall-Olkin copula has CDF :
C(u1, u2) = u1 u2^(1 - beta) * 1_(u1^alpha <= u2^beta) + u1^(1 - alpha) u2 * 1_(u1^alpha >= u2^beta
for 0 <= u1, u2, alpha, beta <= 1. It is the geometric mean of the independance and upper Fréchet bound copulas.
Function :
cBivariateMO
returns the value of the copula.
crBivariateMO
returns simulated values of the copula.
1 2 3 | cBivariateMO(u1 = .76, u2 = 0.4, dependencyParameter = c(0.4, 0.3))
crBivariateMO(numberSimulations = 10, seed = 42, dependencyParameter = c(0.2, 0.5))
|
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