Density of the Diagonal of (Nested) Archimedean Copulas
Evaluate the density of the diagonal of a d-dimensional (nested) Archimedean copula. Note that the diagonal of a copula is a cumulative distribution function. Currently, only Archimedean copulas are implemented.
dDiag(u, cop, log=FALSE)
u |
a numeric vector of evaluation points. |
cop |
a (nested) Archimedean copula object of class
|
log |
logical indicating if the |
A numeric vector containing the values of the density of the
diagonal of the Archimedean copula at u.
Hofert, M., Mächler, M., and McNeil, A. J. (2013). Archimedean Copulas in High Dimensions: Estimators and Numerical Challenges Motivated by Financial Applications. Journal de la Société Française de Statistique 154(1), 25–63.
th. <- c(0.1, 0.2, 0.5, 0.8, 1.4, 2., 5.)
curve(dDiag(x, cop=onacopulaL("Clayton", list(th.[1], 1:3))), 0, 1,
n=1000, ylab="dDiag(x, *)", main="Diagonal densities of Clayton")
abline(h=0, lty=3)
for(j in 2:length(th.))
curve(dDiag(x, cop=onacopulaL("Clayton", list(th.[j], 1:3))), add=TRUE,
col=j, n=1000)
legend("topleft", do.call(expression, lapply(th., function(th)
substitute(theta == TH, list(TH=th)))),
lty = 1, col=seq_along(th.), bty="n")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.