qua.regressCOP.draw(F=c(seq(0.1, 0.9, by=0.1)),
Fs=0.5, cop=NULL, para=NULL, ploton=TRUE,
swap=FALSE, col=c(4,2), lwd=c(1,2), lty=1, ...)
col
and lwd
and defaults to the median;swap=FALSE
call qua.regressCOP
and perform quantile regression of $V$ with respect to $U$ and if swap=TRUE
call qua.regressC
F
probabilities and the second value is used for the Fs
probability;F
probabilities and the second value is used for the Fs
probability;qua.regressCOP
# See example in qua.regressCOP documentation
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