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# Internal functions for the derivation of the t copula for the PIOSRn and
# PIOSTn test statistics. Called by .Rn and .Tn, the internal functions for
# their test statistics.
# 2d density
.t.12.dens <- function(x, u, nu) {
if (is.null(dim(u))) {
u1 <- u[1]
u2 <- u[2]
} else {
u1 <- u[, 1]
u2 <- u[, 2]
}
res.f <- -((nu * sqrt(1 - (x^2)) * (((nu + (u1^2)) * (nu + (u2^2))) /
(nu^2))^((1 + nu) / 2) * gamma(nu / 2) * gamma((2 + nu) / 2)) /
((nu * (-1 + (x^2)) - (u1^2) + 2 * x * u1 * u2 - (u2^2)) *
((nu - nu * (x^2) + (u1^2) - 2 * x * u1 * u2 + (u2^2)) /
(nu - nu * (x^2)))^(nu / 2) * (gamma((1 + nu) / 2))^2))
return(res.f)
}
# 2d first derivative wrt theta of the log-density
.V.t <- function(u, rho, nu) {
res.f <- (-rho^3 + (2 + nu) * u[1] * u[2] + nu * (rho^2) * u[1] * u[2] -
rho * (-1 + (1 + nu) * u[1]^2 + (1 + nu) * u[2]^2)) /
((-1 + rho^2) * (-1 + rho^2 - u[1]^2 + 2 * rho * u[1] * u[2] - u[2]^2))
return(res.f)
}
# 2d second derivative wrt theta of the log-density
.S.t <- function(u, rho, nu) {
res.f <- (1 + (rho^6) - (u[1]^4) - 2 * nu * (rho^5) * u[1] * u[2] + 2 *
(u[1]^2) * (u[2]^2) - (u[2]^4) - nu * ((u[1]^2) + (u[1]^4) +
(u[2]^2) + (u[2]^4)) + 4 * (rho^3) * u[1] * u[2] * (-2 +
(u[1]^2) + (u[2]^2) + nu * (-1 + (u[1]^2) + (u[2]^2))) + 2 *
rho * u[1] * u[2] * (2 * (2 + (u[1]^2) + (u[2]^2)) + nu *
(3 + 2 * (u[1]^2) + 2 * (u[2]^2))) - (rho^2) * (1 + (1 + nu) *
(u[1]^4) + 2 * (2 + nu) * (u[2]^2) + (1 + nu) * (u[2]^4) + 2 *
(u[1]^2) * (2 + nu + 7 * (u[2]^2) + 5 * nu * (u[2]^2))) +
(rho^4) * (-1 + (4 + 3 * nu) * (u[2]^2) + (u[1]^2) * (4 + nu *
(3 - 2 * (u[2]^2))))) / ((-1 + (rho^2))^2 * (1 - (rho^2) +
(u[1]^2) - 2 * rho * u[1] * u[2] + (u[2]^2))^2)
return(res.f)
}
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