copBasic (version 1.7.1)

EMPIRqua.regress2: Quantile Regression of the Grid of the Bivariate Emprical 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, ...)

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 of R;

...

Additional arguments to pass.

Value

• The gridded values of the quantile regression of $U$ with respect to $V$.

See Also

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

Examples

# See examples under EMPIRqua.regress