qdredge: dredge for quasi-poisson models

In stacyderuiter/s245: Tools for Calvin College STAT 245

dredge for quasi-poisson models

Description

dredge for quasi-poisson models

Usage

qdredge(
  model,
  family = "x.quasipoisson",
  na.action = "na.fail",
  rank = "QAIC",
  chat = dfun(model),
  ...
)

Arguments

model	a fitted model object created by glm() with family=quasipoisson
family	family to which to update family of the model object. Default is 'x.quasipoisson' - this uses the AIC score from the Poisson version of the quasi-Poisson model, keeping the rest of the quasi-Poisson model object.
na.action	default is 'na.fail', for compatibility with dredge()
rank	Function used to rank models; default is 'QAIC'
chat	c-hat parameter passed to the QAIC function from package MuMIn This is the variance inflation factor, here estimated using the dispersion parameter from the quasi-poisson model.
...	Additional arguments to be passed to dredge()

Value

A dredge model selection object. See help for dredge() in package MuMIn for details.

stacyderuiter/s245 documentation built on July 31, 2023, 11:04 p.m.