This function plots regression coefficients estimated from 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 for the pnum-th explanatory variable are plotted (intercepts are plotted if pnum = 1). On the other hand, the estimated standard errors for the reidual spatial process are plotted if par = "s" and pnum = 1, whereas the scale/range parameter for the process is plotted if 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