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.