# NOT RUN {
## load data and transform with empirical cdf
data(wdbc)
udat <- apply(wdbc[, -1], 2, function(x) rank(x) / (length(x) + 1))
## estimation of copula density of variables 5 and 6
fit <- kdecop(udat[, 5:6])
## compute fit statistics
logLik(fit)
AIC(fit)
BIC(fit)
# }
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