| deprecated | R Documentation |
Use kldggd() instead of kldiv().
Use dmggd() instead of mvdggd().
Use rmggd() instead of mvrggd().
Use estparmggd() instead of estparmvggd().
Use plotmggd() instead of plotmvggd().
Use contourmggd() instead of contourmvggd().
kldiv(sigma1, beta1, sigma2, beta2, eps = 1e-06)
mvdggd(x, mu, Sigma, beta, tol = 1e-06)
mvrggd(n = 1, mu, Sigma, beta, tol = 1e-06)
estparmvggd(x, eps = 1e-06, display = FALSE, plot = display)
plotmvggd(
mu,
Sigma,
beta,
xlim = c(mu[1] + c(-10, 10) * Sigma[1, 1]),
ylim = c(mu[2] + c(-10, 10) * Sigma[2, 2]),
n = 101,
xvals = NULL,
yvals = NULL,
xlab = "x",
ylab = "y",
zlab = "f(x,y)",
col = "gray",
tol = 1e-06,
...
)
contourmvggd(
mu,
Sigma,
beta,
xlim = c(mu[1] + c(-10, 10) * Sigma[1, 1]),
ylim = c(mu[2] + c(-10, 10) * Sigma[2, 2]),
zlim = NULL,
npt = 30,
nx = npt,
ny = npt,
main = "Multivariate generalised Gaussian density",
sub = NULL,
nlevels = 10,
levels = pretty(zlim, nlevels),
tol = 1e-06,
...
)
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