biclaytoncopUC: Clayton Copula (Bivariate) Distribution

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Description

Density and random generation for the (one parameter) bivariate Clayton copula distribution.

Usage

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dbiclaytoncop(x1, x2, apar = 0, log = FALSE)
rbiclaytoncop(n, apar = 0)

Arguments

x1, x2

vector of quantiles. The x1 and x2 should both be in the interval (0,1).

n

number of observations. Same as rnorm.

apar

the association parameter. Should be in the interval [0, Inf). The default corresponds to independence.

log

Logical. If TRUE then the logarithm is returned.

Details

See biclaytoncop, the VGAM family functions for estimating the parameter by maximum likelihood estimation, for the formula of the cumulative distribution function and other details.

Value

dbiclaytoncop gives the density at point (x1,x2), rbiclaytoncop generates random deviates (a two-column matrix).

Note

dbiclaytoncop() does not yet handle x1 = 0 and/or x2 = 0.

Author(s)

R. Feyter and T. W. Yee

References

Clayton, D. (1982). A model for association in bivariate survival data. Journal of the Royal Statistical Society, Series B, Methodological, 44, 414–422.

See Also

biclaytoncop, binormalcop, binormal.

Examples

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## Not run:  edge <- 0.01  # A small positive value
N <- 101; x <- seq(edge, 1.0 - edge, len = N); Rho <- 0.7
ox <- expand.grid(x, x)
zedd <- dbiclaytoncop(ox[, 1], ox[, 2], apar = Rho, log = TRUE)
par(mfrow = c(1, 2))
contour(x, x, matrix(zedd, N, N), col = "blue", labcex = 1.5, las = 1)
plot(rbiclaytoncop(1000, 2), col = "blue", las = 1)  
## End(Not run)

VGAM documentation built on Jan. 16, 2021, 5:21 p.m.