timing(n, family, taus, digits = 3, verbose = FALSE)"acopula ") for which $V_0$ and
$V_{01}$ are sampled.numeric vector of Kendall's taus. This vector is
converted to a vector of copula parameters $theta$, which then serve as
$theta_0$ and $theta_1$ for a three-dimensional
fully nested ArchimedeanFALSE).1000*system.time(.)[1]) where $k$ is length(taus).
The first column contains the run times for generating the
$V_0$s. For the submatrix that remains if the first column is
removed, row $i$ (for ${theta_0}_i$) contains the run times
for the $V_{01}$s for a particular $theta_0$ and all the
admissible $theta_1$s.acopula and our predefined "acopula"
family objects in acopula-families. For some timings on a
standard notebook, see demo(timings) (or the file
timing(10000, "Gumbel", taus = c(0.05,(1:9)/10,0.95))Run the code above in your browser using DataLab