This is simply a wrapper for codeqq.gam().
# S3 method for pffr qq( object, rep = 0, level = 0.9, s.rep = 10, type = c("deviance", "pearson", "response"), pch = ".", rl.col = 2, rep.col = "gray80", ... )
How many replicate datasets to generate to simulate quantiles
of the residual distribution.
0 results in an efficient
simulation free method for direct calculation, if this is possible for
the object family.
If simulation is used for the quantiles, then reference intervals can be provided for the QQ-plot, this specifies the level. 0 or less for no intervals, 1 or more to simply plot the QQ plot for each replicate generated.
how many times to randomize uniform quantiles to data under direct computation.
what sort of residuals should be plotted? See
plot character to use. 19 is good.
color for the reference line on the plot.
color for reference bands or replicate reference plots.
extra graphics parameters to pass to plotting functions.