Biamhcop {VGAM} | R Documentation |
Ali-Mikhail-Haq Bivariate Distribution
Description
Density, distribution function, and random generation for the (one parameter) bivariate Ali-Mikhail-Haq distribution.
Usage
dbiamhcop(x1, x2, apar, log = FALSE)
pbiamhcop(q1, q2, apar)
rbiamhcop(n, apar)
Arguments
x1 , x2 , q1 , q2 |
vector of quantiles. |
n |
number of observations.
Same as |
apar |
the association parameter. |
log |
Logical.
If |
Details
See biamhcop
, the VGAM
family functions for estimating the
parameter by maximum likelihood estimation, for the formula of
the cumulative distribution function and other details.
Value
dbiamhcop
gives the density,
pbiamhcop
gives the distribution function, and
rbiamhcop
generates random deviates (a two-column matrix).
Author(s)
T. W. Yee and C. S. Chee
See Also
Examples
x <- seq(0, 1, len = (N <- 101)); apar <- 0.7
ox <- expand.grid(x, x)
zedd <- dbiamhcop(ox[, 1], ox[, 2], apar = apar)
## Not run:
contour(x, x, matrix(zedd, N, N), col = "blue")
zedd <- pbiamhcop(ox[, 1], ox[, 2], apar = apar)
contour(x, x, matrix(zedd, N, N), col = "blue")
plot(r <- rbiamhcop(n = 1000, apar = apar), col = "blue")
par(mfrow = c(1, 2))
hist(r[, 1]) # Should be uniform
hist(r[, 2]) # Should be uniform
## End(Not run)
[Package VGAM version 1.1-11 Index]