varCheck: Checking adequacy of variance function

In reealpeppe/glmdiag: A Collection of Graphic Tools for GLM Diagnostics and some Extensions

Description

If variance function is right then the relationship between squared Pearson residuals and fitted values should be linear; otherwise it means that the chosen variance function increases more (or less) quickly than mu. Hence this plot suggests the direction of the error made by chosing the variance function.

Usage

varCheck(model, xlab, ylab, pch, ...)

Arguments

model	a model supported by glmdiag.
xlab	title for the x axis.
ylab	title for the y axis.
pch	type of points.
...	further arguments passed to plot

Author(s)

Giuseppe Reale

Examples

data(stopping, package = 'glmdiag')
mod <- glm(Distance ~ Speed, family = Gamma(link = 'sqrt'), data = stopping)
varCheck(mod)

reealpeppe/glmdiag documentation built on Dec. 22, 2021, 2:06 p.m.