powered by
Generate quantile regression from the gridded inversion of the bivariate empirical copula of \(U\) with respect to \(V\).
EMPIRqua.regress2(f=0.5, v=seq(0.01,0.99, by=0.01), empinv=NULL, lowess=FALSE, f.lowess=1/5, ...)
The gridded values of the quantile regression of \(U\) with respect to \(V\).
The nonexceedance probability \(F\) to perform regression at and defaults to median regression \(F=1/2\);
A vector of \(v\) nonexceedance probabilities;
The grid from EMPIRgridderinv;
EMPIRgridderinv
Perform lowess smooth on the quantile regression using the smooth factor of f=f.lowess;
lowess
f=f.lowess
Smooth factor of almost the same argument name fed to the lowess() function in R;
lowess()
Additional arguments to pass.
W.H. Asquith
EMPIRgridderinv2, EMPIRqua.regress, EMPIRmed.regress, EMPIRmed.regress2
EMPIRgridderinv2
EMPIRqua.regress
EMPIRmed.regress
EMPIRmed.regress2
# See examples under EMPIRqua.regress
Run the code above in your browser using DataLab