Amh {VGAM} | R Documentation |
Density, distribution function, and random generation for the (one parameter) bivariate Ali-Mikhail-Haq distribution.
damh(x1, x2, alpha, log=FALSE) pamh(q1, q2, alpha) ramh(n, alpha)
x1, x2, q1, q2 |
vector of quantiles. |
n |
number of observations. Must be a positive integer of length 1. |
alpha |
the association parameter. |
log |
Logical.
If TRUE then the logarithm is returned.
|
See amh
, the VGAM
family functions for estimating the
parameter by maximum likelihood estimation, for the formula of the
cumulative distribution function and other details.
damh
gives the density,
pamh
gives the distribution function, and
ramh
generates random deviates (a two-column matrix).
T. W. Yee and C. S. Chee
amh
.
x = seq(0, 1, len=(N <- 101)) alpha = 0.7 ox = expand.grid(x, x) z = damh(ox[,1], ox[,2], alpha=alpha) ## Not run: contour(x, x, matrix(z, N, N), col="blue") z = pamh(ox[,1], ox[,2], alpha=alpha) contour(x, x, matrix(z, N, N), col="blue") plot(r <- ramh(n=1000, alpha=alpha), col="blue") par(mfrow=c(1,2)) hist(r[,1]) # Should be uniform hist(r[,2]) # Should be uniform ## End(Not run)