predict-methods {aod}R Documentation

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 (logit, cloglog or log, depending on the call of the fitting function).
se.fit A logical scalar indicating whether pointwise standard errors should be computed for the predictions.
... Other arguments passed to methods.

Methods

object = "ANY"
Generic function: see predict.
object = "glimML"
Compute predictions for models of formal class “glimML”, presently generated by functions betabin (maximum-likelihood beta-binomial regression) and negbin (maximum-likelihood negative-binomial regression). See the examples for these functions.
object = "glimQL"
Compute predictions for models of formal class “glimQL”, presently generated by functions quasibin (quasi-likelihood binomial regression) and quasibin (quasi-likelihood Poisson regression). See the examples for these functions.

See Also

predict.glm


[Package aod version 1.1-1 Index]