##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (x, y, mar1 = c(0, 1, 0.1), mar2 = c(0, 1, 0.1), a = 1/2,
b = 1/2, ...)
{
param = as.numeric(c(mar1, mar2, -a, -b))
mux = param[1]
muy = param[4]
sigx = param[2]
sigy = param[5]
gamx = param[3]
gamy = param[6]
a = param[7]
b = param[8]
hxy = NULL
error = FALSE
if (sigx < 0 | sigy < 0 | a > 0 | b > 0)
error = TRUE
if (!error) {
hxy = NA
tx = (1 + gamx * (x - mux)/sigx)^(1/gamx)
ty = (1 + gamy * (y - muy)/sigy)^(1/gamy)
tx0 = (1 + gamx * (-mux)/sigx)^(1/gamx)
ty0 = (1 + gamy * (-muy)/sigy)^(1/gamy)
dtx = (1/sigx) * pmax((1 + gamx * (x - mux)/sigx), 0)^(1/gamx -
1)
dty = (1/sigy) * pmax((1 + gamy * (y - muy)/sigy), 0)^(1/gamy -
1)
w = tx/(tx + ty)
l = length(w)
gma1 = rep(NA, l)
for (i in 1:l) {
eqn = function(z) (1 - a) * (1 - w[i]) * (1 - z)^b -
(1 - b) * w[i] * z^a
if (w[i] == 0)
gma1[i] <- 0
else if (w[i] == 1)
gma1[i] <- 1
else gma1[i] <- uniroot(eqn, lower = 0, upper = 1,
tol = .Machine$double.eps^0.5)$root
}
hdens = function(w, gma = gma1) -((1 - a) * (1 - gma) *
gma^(1 - a))/((1 - w) * w^2 * ((1 - gma) * a + gma *
b))
dxdymu = function(x1, y1) -(x1 + y1)^(-3) * hdens(x1/(x1 +
y1))
c0 = log(pbvevd(c(0, 0), model = "negbilog", mar1 = c(mux,
sigx, gamx), mar2 = c(muy, sigy, gamy), alpha = (-a),
beta = (-b)))
hxy = 1/c0 * dxdymu(tx, ty) * dtx * dty
hxy = as.numeric(hxy * (1 - ((x < 0) * (y < 0))))
}
else stop("invalid parameter(s)")
hxy
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