VGAM (version 0.9-4)

Frank: Frank's Bivariate Distribution

Description

Density, distribution function, and random generation for the (one parameter) bivariate Frank distribution.

Usage

dbifrankcop(x1, x2, alpha, log = FALSE)
pbifrankcop(q1, q2, alpha)
rbifrankcop(n, alpha)

Arguments

x1, x2, q1, q2

vector of quantiles.

n

number of observations. Must be a positive integer of length 1.

alpha

the positive association parameter $\alpha$.

log

Logical. If log = TRUE then the logarithm of the density is returned.

Value

• dbifrankcop gives the density, pbifrankcop gives the distribution function, and rbifrankcop generates random deviates (a two-column matrix).

Details

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

References

Genest, C. (1987) Frank's family of bivariate distributions. Biometrika, 74, 549--555.

See Also

bifrankcop.

Examples

N <- 100; alpha <- exp(2)
xx <- seq(-0.30, 1.30, len = N)
ox <- expand.grid(xx, xx)
zedd <- dbifrankcop(ox[, 1], ox[, 2], alpha = alpha)
contour(xx, xx, matrix(zedd, N, N))
zedd <- pbifrankcop(ox[, 1], ox[, 2], alpha = alpha)
contour(xx, xx, matrix(zedd, N, N))

alpha <- exp(4)
plot(rr <- rbifrankcop(n = 3000, alpha = alpha))
par(mfrow = c(1, 2))
hist(rr[, 1])  # Should be uniform
hist(rr[, 2])  # Should be uniform