predict: Methods for Function "predict" in Package "aod"

In aod: Analysis of Overdispersed Data

Methods for Function "predict" in Package "aod"

Description

“predict” methods for fitted models generated by functions in package aod.

Usage

  ## S4 method for signature 'glimML'
predict(object, newdata = NULL, 
    type = c("response", "link"), se.fit = FALSE, ...)
  ## S4 method for signature 'glimQL'
predict(object, newdata = NULL, 
    type = c("response", "link"), se.fit = FALSE, ...)
  

Arguments

object	A fitted model of formal class “glimML” (functions betabin or negbin) or “glimQL” (functions quasibin or quasipois).
newdata	A data.frame providing all the explanatory variables necessary for predictions.
type	A character string indicating the scale on which predictions are made: either “response” for predictions on the observation scale, or “link” for predictions on the scale of the link.
se.fit	A logical scalar indicating whether pointwise standard errors should be computed for the predictions.
...	Other arguments passed to methods.

Methods

glimML

Compute predictions for models of formal class “glimML”, presently generated by functions betabin and negbin. See the examples for these functions.

glimQL

Compute predictions for models of formal class “glimQL”, presently generated by the functions quasibin and quasibin. See the examples for these functions.

See Also

predict.glm

aod documentation built on June 22, 2024, 12:21 p.m.