qqgam: QQ plots for gam model residuals

In cardiomoon/ggGam: Make prediction and diagnostic plots of an object of class `gam` generated by the gam function of the `mgcv` package

Description

QQ plots for gam model residuals

Usage

qqgam(
  object,
  rep = 0,
  level = 0.9,
  s.rep = 10,
  type = c("deviance", "pearson", "response")
)

Arguments

object	a fitted gam object as produced by gam()
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?

Value

A ggplot

cardiomoon/ggGam documentation built on May 2, 2020, 9:58 a.m.