refund (version 0.1-37)

qq.pffr: QQ plots for pffr model residuals

Description

This is simply a wrapper for qq.gam().

Usage

qq.pffr(
  object,
  rep = 0,
  level = 0.9,
  s.rep = 10,
  type = c("deviance", "pearson", "response"),
  pch = ".",
  rl.col = 2,
  rep.col = "gray80",
  ...
)

Arguments

object

a fitted pffr-object

rep

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.

level

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.

s.rep

how many times to randomize uniform quantiles to data under direct computation.

type

what sort of residuals should be plotted? See residuals.gam.

pch

plot character to use. 19 is good.

rl.col

color for the reference line on the plot.

rep.col

color for reference bands or replicate reference plots.

...

extra graphics parameters to pass to plotting functions.