This function plots regression coefficients estimated by the spatial filter unconditional quantile regression (SF-UQR) approach.
plot_qr( mod, pnum = 1, par = "b", cex.main = 28, cex.lab = 26, cex.axis = 24, lwd = 1.5 )Object produced by the resf_qr function
A number specifying which parameter is plotted. If \(par\) = "b", coefficients on \(pnum\)-th explanatory variable are plotted (intercepts are plotted if \(pnum\) = 1). On the other hand, standard error for the reidual spatial process is plotted if \(par\) = "s" and \(pnum\) = 1, whereas the scale (degree) parameter for the process is plotted when \(par\) = "s" and \(pnum\) = 2
If it is "b", regression coefficeints are plotted. If it is "s", shrinkage (variance) parameters for the residual spatial process are plotted. Default is "b"
Graphical parameter specifying the size of the main title
Graphical parameter specifying the size of the x and y axis labels
Graphical parameter specifying the size of the tick label numbers
Graphical parameters specifying the width of the line drawing the coefficient estimates