The half-normal plot is one of the tools designed to evaluate the goodness of fit of a statistical models. It is a graphical method for comparing two probability distributions by plotting their quantiles against each other. Points on the plot correspond to ordered absolute values of model diagnostic (i.e. standardized residuals) plotted against theoretical order statistics from a half-normal distribution.

plotHalfNormal(object, score = TRUE, quant.scale = FALSE,
  xlab = "half-normal Quantiles", ylab = "residuals", main = "", ...)

Arguments

object

modelAudit object, modelFit object.

score

If TRUE score based on probability density function is displayed on the plot.

quant.scale

if TRUE values on axis are on quantile scale.

xlab

The text for the x axis.

ylab

The text for the y axis.

main

Title of plot.

...

extra arguments passed to hnp.

Value

An object of class ggplot

See also