qq.pffr: QQ plots for pffr model residuals

In refund: Regression with Functional Data

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.

refund documentation built on Sept. 21, 2024, 1:07 a.m.