| cgaussian | R Documentation |
Returns a function computing the log density of the bivariate Gaussian copula,
intended to be used with dcopula.
cgaussian(rho = 0)
rho |
Correlation parameter ( |
Function of two arguments (u,v) returning log copula density.
The Gaussian copula density is
c(u,v;\rho) = \frac{1}{\sqrt{1-\rho^2}}
\exp\left\{-\frac{1}{2(1-\rho^2)} (z_1^2 - 2 \rho z_1 z_2 + z_2^2) + \frac{1}{2}(z_1^2 + z_2^2) \right\},
where z_1 = \Phi^{-1}(u), z_2 = \Phi^{-1}(v), and -1 < \rho < 1.
cclayton(), cgumbel(), cfrank()
x <- c(0.5, 1); y <- c(1, 2)
d1 <- dnorm(x, 1, log = TRUE); d2 <- dexp(y, 2, log = TRUE)
p1 <- pnorm(x, 1); p2 <- pexp(y, 2)
dcopula(d1, d2, p1, p2, copula = cgaussian(0.5), log = TRUE)
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