Learn R Programming

copBasic (version 2.2.6)

EMPIRqua.regress2: Quantile Regression of the Grid of the Bivariate Empirical Copula for U with respect to V

Description

Generate quantile regression from the gridded inversion of the bivariate empirical copula of \(U\) with respect to \(V\).

Usage

EMPIRqua.regress2(f=0.5, v=seq(0.01,0.99, by=0.01), empinv=NULL,
                  lowess=FALSE, f.lowess=1/5, ...)

Value

The gridded values of the quantile regression of \(U\) with respect to \(V\).

Arguments

f

The nonexceedance probability \(F\) to perform regression at and defaults to median regression \(F=1/2\);

v

A vector of \(v\) nonexceedance probabilities;

empinv

The grid from EMPIRgridderinv;

lowess

Perform lowess smooth on the quantile regression using the smooth factor of f=f.lowess;

f.lowess

Smooth factor of almost the same argument name fed to the lowess() function in R;

...

Additional arguments to pass.

Author

W.H. Asquith

See Also

EMPIRgridderinv2, EMPIRqua.regress, EMPIRmed.regress, EMPIRmed.regress2

Examples

Run this code
# See examples under EMPIRqua.regress

Run the code above in your browser using DataLab